Smart Cities
Untether AI®, a pioneer in energy-centric AI inference acceleration, is teaming up with AI Platform Alliance members Ampere® Computing, NETINT, ZoneMinder, AVC Group, and ASA Computers to introduce the Intelligent Video Recording (IVR) solution at ISC West 2025, the premier security industry tradeshow. This groundbreaking AI-powered system sets a new benchmark in video surveillance, delivering up to 8x better AI camera efficiency while operating in an eco-friendly server cons...
VIVOTEK, the pioneering security solution provider, has been committed to safeguarding communities and building a sustainable future since its founding in 2000. With "Care" as its core value, the company integrates cutting-edge security technologies to foster a safer and more sustainable world. Marking its 25th anniversary, VIVOTEK has unveiled its anniversary slogan, “MAKE TOMORROW EASIER, TODAY!” along with a refreshed brand identity, emphasising its focus on AI and cloud-driven s...
Lanner Electronics, a pioneer in network computing appliances and industrial AI computers, will officially unveil its latest innovation, the EAI-I233 and EAI-I251 industrial-grade Edge AI computers, at NVIDIA GTC 2025. Powered by the NVIDIA® Jetson AGX Orin™ system on module (SOM), these advanced platforms are designed to deliver low-latency AI inferencing capabilities at the edge for industries including retail, manufacturing, transportation and smart city. EAI-I233: AI inference sy...
FF Group, a pioneer in AI licence plate recognition on the edge, has chosen ISC West 2025 as the platform to introduce its world’s fastest on-camera licence plate and vehicle recognition software to the North American market. CAMMRA AI™ from FF Group brings next-level licence plate recognition (LPR), leveraging advanced AI technology onboard a camera to serve modern traffic management, smart city and law enforcement markets. FF Group will exhibit at Booth #17141 at ISC West, to be h...
Leveraging the NVIDIA platform, Milestone Systems’ Project Hafnia is aiming to be a pioneer service for data generators, to share and utilise their data, and for developers, to access traceable and regulatory-compliant annotated video data. Milestone’s goal is to put the latest advances in Vision Language Models (VLM) and supporting data curation capabilities in the hands of as many developers as possible. One of the first service offerings is a VLM, fine-tuned using NVIDIA fine-tun...
At ISC-West, booth #7041, Acoem, a pioneer in advanced physical security solutions, will unveil its next-generation gunshot detection system. Acoem ATD (Acoustic Threat Detection) technology is designed for security professionals, law enforcement agencies, and critical infrastructure operators who require a data-driven gunshot detection solution that delivers unparalleled speed, accuracy, and scalability—without the need for multiple sensors. Acoem’s Cadence™ softwa...
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Hanwha Vision, a global pioneer in video surveillance and security solutions, has launched the Q series AI 5MP fixed cameras that utilise AI for object and attribute colour detection, enhancing forensic search and event responses. There are six models available in the range including dome, vandal dome and bullet forms, all with enhanced durability and next-level cybersecurity. Investigation times in scenes Operators can locate certain objects and attributes by colours, including clothing (upper/lower) Operators can now locate certain objects and attributes by colours, including clothing (upper/lower) and vehicles, significantly reducing investigation times in complex scenes. Users can apply nine distinct colour filters to streamline searches. For example, identifying a “red car” or searching for a person based on their trouser colour is now faster and more precise. Key insights for a variety of industries The cameras feature BestShot technology, which leverages AI to intelligently capture the highest-quality images of classified objects. This capability is paired with detailed metadata generation, enabling rapid searches. Business intelligence features such as heatmapping, people/vehicle counting, and queue management provide key insights for a variety of industries, including smart cities, retail and manufacturing. Area and route usage can be evaluated, alongside scene hotspots to inform site layouts, scheduling, maintenance and more. Overview of a scene and objects The Q series AI 5MP fixed cameras also feature virtual line-crossing and loitering detection The Q series AI 5MP fixed cameras also feature virtual line-crossing and loitering detection, with automated alerts signalling when an operator may need to investigate an event further. The cameras have a wide field of view which complements the analytics, providing operators with a comprehensive overview of a scene and objects or events of interest. Addition to the Q series AI range John Lutz Boorman, Head of Product and Marketing at Hanwha Vision Europe, said, “This is an exciting addition to the Q series AI range. Colour detection of clothing and vehicles enhance situational awareness, response times, and investigations." "Operators will benefit from the comprehensive and detailed coverage that these cameras provide along with business intelligence insights that will boost long-term efficiency and planning.”
Matrix made a strong impact at the FSAI Project Heads, Architects & Consultants Conclave (PACC) 2025, held at ITC Grand Chola, Chennai, from February 6-9. This major event brought together 750+ industry pioneers, including Smart City CEOs, government officials, architects, and security experts, to discuss the future of security solutions. Latest security solutions PACC 2025 provided Matrix with a significant platform to showcase its latest security solutions PACC 2025 provided Matrix with a significant platform to showcase its latest security solutions designed to address modern challenges. The company showcased its Ruggedised Network Camera, which provides superior-quality images in high-vibration mobile environments. With an impressive 100,000-hour Mean Time Between Failures (MTBF), Matrix Network Cameras stand out for their reliability and durability, ensuring continuous operation with minimal maintenance. Evolving security landscape Matrix discussed the latest feature update-OSDP support in its Access Control solutions, which enhances encrypted communication for secure access control. At the event, another new feature was highlighted-WhatsApp Alerts in IP Video Surveillance solutions, for real-time notifications. The event also provided valuable insights into the evolving security landscape. Discussions revolved around the increasing demand for cyber-secure surveillance, seamless access control, and AI-driven security analytics. Importance of integrating security technology Matrix absorbed these insights, which will shape its future product roadmap, ensuring that its solutions Experts emphasised the importance of integrating security technology with existing infrastructure to create safer and more responsive security ecosystems. Matrix absorbed these insights, which will shape its future product roadmap, ensuring that its solutions remain relevant and industry-pioneering. A defining moment at the event was the speech by Dr. Vikram Singh, one of India’s most respected police officers, at the Bravery Awards Celebration on February 8, 2025. He commended key contributors in the security industry and acknowledged the importance of technology-driven safety measures. His words reinforced the critical role that enterprises like Matrix play in enhancing national security through innovation. Matrix’s participation in PACC 2025 Matrix’s participation in PACC 2025 is expected to fuel business growth and reinforce its industry standing. By demonstrating its technological expertise, the company has established itself as a preferred security partner for large-scale projects across smart cities, industrial complexes, and government initiatives. As security challenges escalate, Matrix’s solutions will play a pivotal role in strengthening national security infrastructure. The learnings from PACC 2025 will drive Matrix’s ongoing commitment to providing advanced, reliable, and easy-to-integrate security solutions for businesses and public spaces across the nation.
Making technology easy to use - this is the credo of industrial camera manufacturer IDS Imaging Development Systems in these challenging times. To this end, the German medium-sized company repeatedly utilises innovations from the consumer world at an early stage and consistently develops them further for industrial applications. IDS is planning a particularly large number of new products for the current year. Challenges in 2024 In general, companies in the machine vision industry faced several challenges in 2024. According to the VDMA Machine Vision department, a nominal 10 percent decline in sales was forecast for the German machine vision industry compared to the previous year. No change in trend is expected for 2025 either. This development is mainly attributed to falling demand from the manufacturing industry. Nevertheless, there are opportunities in new sales areas such as logistics, medical technology, and intelligent transport systems. IDS is expanding its portfolio accordingly. uEye Live camera series The first models of the uEye Live camera series for live streaming, industrial process monitoring "The past year has brought its challenges, but we have used this time to regroup and work on some exciting projects," explains Jan Hartmann - Managing Partner at IDS. Throughout 2025, the company plans to successively launch innovations on the market. The first models of the uEye Live camera series for live streaming, industrial process monitoring, and recording video sequences in the camera memory are already available to order. Image-based camera technology This will be followed by event-based cameras for highly efficient motion analyses. The compact models visualise even extremely fast movements completely loss-free. At the same time, they ensure a significantly reduced amount of data compared to conventional, image-based camera technology - completely new possibilities for industrial and non-industrial applications. IDS will also supplement its 3D portfolio with a time-of-flight camera developed in-house. Tailor-made solutions The company also focuses on client-specific developments. Customised special models are created according to individual requirements. The product spectrum ranges from customised designs and special software adaptations to modular solutions based on the building block principle. An experienced engineering team supports customers throughout the entire implementation process. EMC measuring cabin Proven values such as the ease of use of the products are just as much a part of the development work IDS combines tradition and innovation: Proven values such as the ease of use of the products are just as much a part of the development work as the latest technologies. Investments at the headquarters in Obersulm, such as an in-house EMC measuring cabin, secure the production and development site. The company is also continuously exploring new markets, including India, which is considered a particularly interesting growth market. Responsibility, innovation, and networking As a family business, the medium-sized company is also committed to its social responsibility and is involved in social and ecological projects in the region over and above its economic interests. This sense of responsibility shapes both the company's actions and its long-term corporate strategy. IDS is also investing in the expansion of a dynamic ecosystem and cooperating closely with start-ups. As a pioneering industrial camera manufacturer and image processing company, the corporate philosophy is to promote innovation. It makes its technology available for research purposes and new ideas, shares knowledge in working groups, and supports educational institutions. Artificial intelligence That the headquarters is situated in the AI region Heilbronn offers ideal conditions for this. IDS is part of an up-and-coming community for artificial intelligence and is actively involved in numerous supra-regional partnerships. The company has an extensive network that drives innovation and helps shape the future of image processing, as Jan Hartmann confirms, "There are still uncertainties in the market, but I am confident that with our continued focus on development, innovation, and the strength of our great team and partners, we are well equipped for the future."
Innodisk, a pioneering global AI solution provider, is unveiling its latest embedded and AI solutions at Embedded World 2025 in Nuremberg, Germany. With a strong focus on AI innovation, Innodisk is showcasing solutions that bridge the gap between AI concepts and real-world applications, including AI-powered video analytics, high-performance edge computing, and on-premise large language models (LLMs) for enterprise and industrial use. Range of innovative AI applications Innodisk highlights its optimised AI systems, powering a range of innovative AI applications As AI technology rapidly evolves, businesses require practical solutions to enhance efficiency, security, and automation. Innodisk highlights its optimised AI systems, powering a range of innovative AI applications. At the core of Innodisk’s showcase is its on-premise conversational AI solution, which enables secure LLM deployment within enterprise environments. Supporting Chinese, English, and Korean, this solution leverages the growing maturity of edge LLM, making them increasingly suitable for enterprise knowledge management and data retrieval. How AI-powered automation can improve safety Expanding beyond conversational AI, Innodisk’s package detection solution demonstrates how AI-powered automation can improve operational safety and efficiency in manufacturing. The solution accurately detects label placements on production lines and provides real-time alerts for fire or smoke, ensuring proactive risk management. To enhance monitoring capabilities, it integrates high-performance MIPI cameras, enabling low-latency video streaming for real-time detection and immediate response to production anomalies. Real-time AI analysis Innodisk raises a robust fleet control solution, integrating up to eight waterproof For mobility applications, Innodisk introduces a robust fleet management solution, integrating up to eight waterproof and dustproof 13MP GMSL2 cameras. Through real-time AI analysis, the solution enhances driving safety by identifying surrounding personnel, vehicles, and objects-even in harsh environments. Innodisk’s AMR solution With adaptable configurations supporting up to 16 cameras and extended transmission distances, it ensures reliable operation in complex industrial settings. Meanwhile, for industrial automation, Innodisk’s AMR solution leverages MIPI over Type-C cameras to enhance machine vision, improving the efficiency and navigation capabilities of autonomous robots. Innodisk next-generation Gen5 data centre Innodisk offers flexible customisation services to help businesses seamlessly integrate AI To support these AI applications, Innodisk offers flexible customisation services to help businesses seamlessly integrate AI into real-world applications. Additionally, Innodisk presents next-generation Gen5 data centre SSDs, DDR5 6400 high-performance memory solutions, and advanced CAN FD modules—delivering the speed, durability, and scalability required for demanding AI workloads. Innodisk complete solutions As edge AI adoption continues to mature, Innodisk is uniquely positioned to provide complete solutions that accelerate deployment and maximise value, helping customers reach new heights in embedded intelligence across industries. Experience Innodisk’s Innovative AI solutions at Hall 1, Stand 1-370 at Embedded World 2025.
Advantech, a pioneer in IoT intelligent systems and embedded platforms, hosted an investor conference today (March 5th), which was presided over by Chairman KC Liu alongside three co-presidents – Mr. Eric Chen, Ms. Linda Tsai, and Mr. Miller Chang. Advantech’s 2024 revenue declined by 7%; however, the gross margin was maintained due to the effective control on operations. The 2024 gross margin was 40.8%, the operating profit amounted to NT$9.050 billion (operating margin of 15.1%), and the consolidated net income after tax totaled NT$9.005 billion (net profit margin of 15.1%), while 2024 annual EPS reached NT$10.45. Meanwhile, Advantech proposed a cash dividend per share of NT$8.4, reflecting an increase in dividend payout ratio to 80%. The dividend proposal was approved by the Board of Directors last week and is subject to final approval by the 2025 annual shareholders meeting. Edge computing technology Eric Chen, President of General Management and CFO, stated, “Looking forward to 2025, order momentum has gradually recovered, with BB ratios in regional markets rebounding above 1. Meanwhile, as Advantech continues to expand in the Edge AI market, overall operations are expected to grow steadily.” According to Miller Chang, President of Advantech’s Embedded Sector, the rapid development of global artificial intelligence and edge computing technology has driven Advantech's extensive Edge Computing Platform holds a high market share across various industries. Advantech continues to innovate by developing Edge AI acceleration modules, Edge AI industry application systems, Edge AI large-language training systems, and Edge AI servers. High-performance computing Advantech's Edge Computing Platform has widely adopted various mainstream AI chips Additionally, it provides an integrated AI software platform tool, the Edge AI SDK, to help industry customers evaluate and validate AI platform performance and application development, accelerating the deployment of AI at the edge device level. Meanwhile, Advantech's Edge Computing Platform has widely adopted various mainstream AI chips and collaborates with pioneer chip manufacturers, such as Intel, AMD, Nvidia, Qualcomm, NXP, and MediaTek, to co-develop and launch high-performance Edge AI computing platforms simultaneously. Advantech focuses on high-performance computing and Edge AI applications in emerging industries, including 5G, networking, healthcare, transportation, automation equipment, and robotics. Industrial edge computing Furthermore, Linda Tsai, President of Advantech’s Intelligent System sector, stated that Advantech is committed to driving the development of industrial edge computing, focusing on vertical markets such as smart manufacturing, industrial and semiconductor equipment, collaborative robots, transportation, network security, and video streaming. The company will provide advanced technologies, including machine vision solutions The company will provide advanced technologies, including machine vision solutions, PC-based industrial controllers, Edge computers, Edge servers, and Edge Video Appliances, enabling customers to enhance production efficiency and accelerate digital transformation. In addition, Advantech will deeply integrate AI, edge computing, and industry applications by launching AI vision cameras, industrial AI inference systems, and a series of Edge LLM servers. Delivering innovative solutions The company will also collaborate with AI ecosystem partners to deliver innovative solutions. Moreover, Advantech plans to expand its presence in key areas such as intelligent inspection, collaborative robots, logistics and warehousing, and smart cities, accelerating the growth of the Edge AI market. Advantech will strengthen its investments in L11 SKYRack integration services Lastly, Advantech will strengthen its investments in L11 SKYRack integration services, providing customers with assembly, integration, and testing services for industrial rack solution. Leveraging its global service network, the company enables localised assembly and delivery, supporting applications in semiconductor front-end equipment, medical imaging, and video streaming to provide comprehensive system solutions. Comprehensive system solutions Advantech Chairman KC Liu stated that in 2025, Advantech will launch a new brand strategy,’Edge Computing & WISE-Edge in Action.’ “Moving forward, the company will deepen its understanding of customer needs by transforming Edge Computing into a competitive advantage, thereby optimising operational efficiency and enhancing decision-making accuracy for clients.” “In the AI era, Advantech aims to drive industry advancement and foster innovation. The company will continue to focus on five key industries: Edge Intelligence Systems, Manufacturing, Energy and Utilities, iHealthcare, and iCity Services & iRetail. Through the software-hardware integration strategy, Advantech will leverage WISE-Edge to connect and enable edge intelligence, building a smart, interconnected ecosystem that facilitates real-time industry insights and drives innovative applications.” “Looking ahead, Advantech will further advance the integration of hardware and software in Edge AI by collaborating with ecosystem partners. The company aims to create sustainable growth and generate long-term value for shareholders, society, and employees—ultimately fulfilling its vision of "Enabling an Intelligent Planet."
Featuring the Wisenet Road AI solution, the camera combines long-range licence plate detection with make, model and colour recognition (MMCR) for over 600 vehicle models. Hanwha Vision, a global pioneer in video surveillance and security solutions, has launched the PNO-A9311RLP – a 4K AI bullet camera with 31x zoom and the intelligent traffic solution Wisenet Road AI. Smart traffic monitoring PNO-A9311RLP delivers precise vehicle recognition while reducing server and bandwidth demands Ideal for smart cities, the camera offers long-range licence plate detection and can monitor two lanes of traffic at speeds of up to 65mph (100km/h). 4K resolution provides clear images while the edge-based Wisenet Road AI solution comes pre-installed and licensed to aid vehicle identification and investigation searches. With Wisenet Road AI, the PNO-A9311RLP can accurately identify type, make, model, and colour of detected vehicles, across 70 automotive brands, 600 models, and 10 colours. As analysis is carried out on the camera (at the edge), server space and bandwidth requirements are reduced. Enhanced traffic insights Operators can gain greater insights into road usage, with planners able to take trends into account when considering the widening of roads or the creation of new bus and cycle lanes. Furthermore, the pre-installed Road AI solution’s dashboard visualises key statistics such as the number and type of vehicles, e.g. cars, buses and trucks, identified per day or week. Optimised vehicle identification AI-powered vehicle recognition help investigators identify suspects even when plates are swapped or incompleteEyewitness accounts, particularly with regards to vehicle licence number plates, can quite often be inaccurate or incomplete. The ability to search for vehicles by partial plate numbers or letters, vehicle type, make, model and colour is of great help to investigating teams when searching footage of a vehicle involved in an incident, for example. Additionally, with criminals frequently swapping the licence number on vehicles to avoid ANPR, police can use make, model, and colour search criteria to cross-reference against reports of stolen vehicles or vehicles involved in an incident. Improved vehicle identification The PNO-A9311RLP has an IR viewable length of 70 metres so licence plates and the make and model of cars can be easily identified in dark scenes. Furthermore, a 6.91~214.64mm (31x) zoom lens enables operators to see the finer details of a vehicle for identification assistance. John Lutz Boorman, Head of Product and Marketing at Hanwha Vision Europe, said, “The PNO-A9311RLP is a powerful camera for ensuring smooth traffic flows in busy areas." "Edge-based Wisenet Road AI provides invaluable contextual information to improve incident responses and investigations, enhancing road safety and traffic efficiency throughout the day.”
Hanwha Vision, a global pioneer in video surveillance and security solutions, has launched the Q series AI 5MP fixed cameras that utilise AI for object and attribute colour detection, enhancing forensic search and event responses. There are six models available in the range including dome, vandal dome and bullet forms, all with enhanced durability and next-level cybersecurity. Investigation times in scenes Operators can locate certain objects and attributes by colours, including clothing (upper/lower) Operators can now locate certain objects and attributes by colours, including clothing (upper/lower) and vehicles, significantly reducing investigation times in complex scenes. Users can apply nine distinct colour filters to streamline searches. For example, identifying a “red car” or searching for a person based on their trouser colour is now faster and more precise. Key insights for a variety of industries The cameras feature BestShot technology, which leverages AI to intelligently capture the highest-quality images of classified objects. This capability is paired with detailed metadata generation, enabling rapid searches. Business intelligence features such as heatmapping, people/vehicle counting, and queue management provide key insights for a variety of industries, including smart cities, retail and manufacturing. Area and route usage can be evaluated, alongside scene hotspots to inform site layouts, scheduling, maintenance and more. Overview of a scene and objects The Q series AI 5MP fixed cameras also feature virtual line-crossing and loitering detection The Q series AI 5MP fixed cameras also feature virtual line-crossing and loitering detection, with automated alerts signalling when an operator may need to investigate an event further. The cameras have a wide field of view which complements the analytics, providing operators with a comprehensive overview of a scene and objects or events of interest. Addition to the Q series AI range John Lutz Boorman, Head of Product and Marketing at Hanwha Vision Europe, said, “This is an exciting addition to the Q series AI range. Colour detection of clothing and vehicles enhance situational awareness, response times, and investigations." "Operators will benefit from the comprehensive and detailed coverage that these cameras provide along with business intelligence insights that will boost long-term efficiency and planning.”
Matrix made a strong impact at the FSAI Project Heads, Architects & Consultants Conclave (PACC) 2025, held at ITC Grand Chola, Chennai, from February 6-9. This major event brought together 750+ industry pioneers, including Smart City CEOs, government officials, architects, and security experts, to discuss the future of security solutions. Latest security solutions PACC 2025 provided Matrix with a significant platform to showcase its latest security solutions PACC 2025 provided Matrix with a significant platform to showcase its latest security solutions designed to address modern challenges. The company showcased its Ruggedised Network Camera, which provides superior-quality images in high-vibration mobile environments. With an impressive 100,000-hour Mean Time Between Failures (MTBF), Matrix Network Cameras stand out for their reliability and durability, ensuring continuous operation with minimal maintenance. Evolving security landscape Matrix discussed the latest feature update-OSDP support in its Access Control solutions, which enhances encrypted communication for secure access control. At the event, another new feature was highlighted-WhatsApp Alerts in IP Video Surveillance solutions, for real-time notifications. The event also provided valuable insights into the evolving security landscape. Discussions revolved around the increasing demand for cyber-secure surveillance, seamless access control, and AI-driven security analytics. Importance of integrating security technology Matrix absorbed these insights, which will shape its future product roadmap, ensuring that its solutions Experts emphasised the importance of integrating security technology with existing infrastructure to create safer and more responsive security ecosystems. Matrix absorbed these insights, which will shape its future product roadmap, ensuring that its solutions remain relevant and industry-pioneering. A defining moment at the event was the speech by Dr. Vikram Singh, one of India’s most respected police officers, at the Bravery Awards Celebration on February 8, 2025. He commended key contributors in the security industry and acknowledged the importance of technology-driven safety measures. His words reinforced the critical role that enterprises like Matrix play in enhancing national security through innovation. Matrix’s participation in PACC 2025 Matrix’s participation in PACC 2025 is expected to fuel business growth and reinforce its industry standing. By demonstrating its technological expertise, the company has established itself as a preferred security partner for large-scale projects across smart cities, industrial complexes, and government initiatives. As security challenges escalate, Matrix’s solutions will play a pivotal role in strengthening national security infrastructure. The learnings from PACC 2025 will drive Matrix’s ongoing commitment to providing advanced, reliable, and easy-to-integrate security solutions for businesses and public spaces across the nation.
Making technology easy to use - this is the credo of industrial camera manufacturer IDS Imaging Development Systems in these challenging times. To this end, the German medium-sized company repeatedly utilises innovations from the consumer world at an early stage and consistently develops them further for industrial applications. IDS is planning a particularly large number of new products for the current year. Challenges in 2024 In general, companies in the machine vision industry faced several challenges in 2024. According to the VDMA Machine Vision department, a nominal 10 percent decline in sales was forecast for the German machine vision industry compared to the previous year. No change in trend is expected for 2025 either. This development is mainly attributed to falling demand from the manufacturing industry. Nevertheless, there are opportunities in new sales areas such as logistics, medical technology, and intelligent transport systems. IDS is expanding its portfolio accordingly. uEye Live camera series The first models of the uEye Live camera series for live streaming, industrial process monitoring "The past year has brought its challenges, but we have used this time to regroup and work on some exciting projects," explains Jan Hartmann - Managing Partner at IDS. Throughout 2025, the company plans to successively launch innovations on the market. The first models of the uEye Live camera series for live streaming, industrial process monitoring, and recording video sequences in the camera memory are already available to order. Image-based camera technology This will be followed by event-based cameras for highly efficient motion analyses. The compact models visualise even extremely fast movements completely loss-free. At the same time, they ensure a significantly reduced amount of data compared to conventional, image-based camera technology - completely new possibilities for industrial and non-industrial applications. IDS will also supplement its 3D portfolio with a time-of-flight camera developed in-house. Tailor-made solutions The company also focuses on client-specific developments. Customised special models are created according to individual requirements. The product spectrum ranges from customised designs and special software adaptations to modular solutions based on the building block principle. An experienced engineering team supports customers throughout the entire implementation process. EMC measuring cabin Proven values such as the ease of use of the products are just as much a part of the development work IDS combines tradition and innovation: Proven values such as the ease of use of the products are just as much a part of the development work as the latest technologies. Investments at the headquarters in Obersulm, such as an in-house EMC measuring cabin, secure the production and development site. The company is also continuously exploring new markets, including India, which is considered a particularly interesting growth market. Responsibility, innovation, and networking As a family business, the medium-sized company is also committed to its social responsibility and is involved in social and ecological projects in the region over and above its economic interests. This sense of responsibility shapes both the company's actions and its long-term corporate strategy. IDS is also investing in the expansion of a dynamic ecosystem and cooperating closely with start-ups. As a pioneering industrial camera manufacturer and image processing company, the corporate philosophy is to promote innovation. It makes its technology available for research purposes and new ideas, shares knowledge in working groups, and supports educational institutions. Artificial intelligence That the headquarters is situated in the AI region Heilbronn offers ideal conditions for this. IDS is part of an up-and-coming community for artificial intelligence and is actively involved in numerous supra-regional partnerships. The company has an extensive network that drives innovation and helps shape the future of image processing, as Jan Hartmann confirms, "There are still uncertainties in the market, but I am confident that with our continued focus on development, innovation, and the strength of our great team and partners, we are well equipped for the future."
Innodisk, a pioneering global AI solution provider, is unveiling its latest embedded and AI solutions at Embedded World 2025 in Nuremberg, Germany. With a strong focus on AI innovation, Innodisk is showcasing solutions that bridge the gap between AI concepts and real-world applications, including AI-powered video analytics, high-performance edge computing, and on-premise large language models (LLMs) for enterprise and industrial use. Range of innovative AI applications Innodisk highlights its optimised AI systems, powering a range of innovative AI applications As AI technology rapidly evolves, businesses require practical solutions to enhance efficiency, security, and automation. Innodisk highlights its optimised AI systems, powering a range of innovative AI applications. At the core of Innodisk’s showcase is its on-premise conversational AI solution, which enables secure LLM deployment within enterprise environments. Supporting Chinese, English, and Korean, this solution leverages the growing maturity of edge LLM, making them increasingly suitable for enterprise knowledge management and data retrieval. How AI-powered automation can improve safety Expanding beyond conversational AI, Innodisk’s package detection solution demonstrates how AI-powered automation can improve operational safety and efficiency in manufacturing. The solution accurately detects label placements on production lines and provides real-time alerts for fire or smoke, ensuring proactive risk management. To enhance monitoring capabilities, it integrates high-performance MIPI cameras, enabling low-latency video streaming for real-time detection and immediate response to production anomalies. Real-time AI analysis Innodisk raises a robust fleet control solution, integrating up to eight waterproof For mobility applications, Innodisk introduces a robust fleet management solution, integrating up to eight waterproof and dustproof 13MP GMSL2 cameras. Through real-time AI analysis, the solution enhances driving safety by identifying surrounding personnel, vehicles, and objects-even in harsh environments. Innodisk’s AMR solution With adaptable configurations supporting up to 16 cameras and extended transmission distances, it ensures reliable operation in complex industrial settings. Meanwhile, for industrial automation, Innodisk’s AMR solution leverages MIPI over Type-C cameras to enhance machine vision, improving the efficiency and navigation capabilities of autonomous robots. Innodisk next-generation Gen5 data centre Innodisk offers flexible customisation services to help businesses seamlessly integrate AI To support these AI applications, Innodisk offers flexible customisation services to help businesses seamlessly integrate AI into real-world applications. Additionally, Innodisk presents next-generation Gen5 data centre SSDs, DDR5 6400 high-performance memory solutions, and advanced CAN FD modules—delivering the speed, durability, and scalability required for demanding AI workloads. Innodisk complete solutions As edge AI adoption continues to mature, Innodisk is uniquely positioned to provide complete solutions that accelerate deployment and maximise value, helping customers reach new heights in embedded intelligence across industries. Experience Innodisk’s Innovative AI solutions at Hall 1, Stand 1-370 at Embedded World 2025.
Advantech, a pioneer in IoT intelligent systems and embedded platforms, hosted an investor conference today (March 5th), which was presided over by Chairman KC Liu alongside three co-presidents – Mr. Eric Chen, Ms. Linda Tsai, and Mr. Miller Chang. Advantech’s 2024 revenue declined by 7%; however, the gross margin was maintained due to the effective control on operations. The 2024 gross margin was 40.8%, the operating profit amounted to NT$9.050 billion (operating margin of 15.1%), and the consolidated net income after tax totaled NT$9.005 billion (net profit margin of 15.1%), while 2024 annual EPS reached NT$10.45. Meanwhile, Advantech proposed a cash dividend per share of NT$8.4, reflecting an increase in dividend payout ratio to 80%. The dividend proposal was approved by the Board of Directors last week and is subject to final approval by the 2025 annual shareholders meeting. Edge computing technology Eric Chen, President of General Management and CFO, stated, “Looking forward to 2025, order momentum has gradually recovered, with BB ratios in regional markets rebounding above 1. Meanwhile, as Advantech continues to expand in the Edge AI market, overall operations are expected to grow steadily.” According to Miller Chang, President of Advantech’s Embedded Sector, the rapid development of global artificial intelligence and edge computing technology has driven Advantech's extensive Edge Computing Platform holds a high market share across various industries. Advantech continues to innovate by developing Edge AI acceleration modules, Edge AI industry application systems, Edge AI large-language training systems, and Edge AI servers. High-performance computing Advantech's Edge Computing Platform has widely adopted various mainstream AI chips Additionally, it provides an integrated AI software platform tool, the Edge AI SDK, to help industry customers evaluate and validate AI platform performance and application development, accelerating the deployment of AI at the edge device level. Meanwhile, Advantech's Edge Computing Platform has widely adopted various mainstream AI chips and collaborates with pioneer chip manufacturers, such as Intel, AMD, Nvidia, Qualcomm, NXP, and MediaTek, to co-develop and launch high-performance Edge AI computing platforms simultaneously. Advantech focuses on high-performance computing and Edge AI applications in emerging industries, including 5G, networking, healthcare, transportation, automation equipment, and robotics. Industrial edge computing Furthermore, Linda Tsai, President of Advantech’s Intelligent System sector, stated that Advantech is committed to driving the development of industrial edge computing, focusing on vertical markets such as smart manufacturing, industrial and semiconductor equipment, collaborative robots, transportation, network security, and video streaming. The company will provide advanced technologies, including machine vision solutions The company will provide advanced technologies, including machine vision solutions, PC-based industrial controllers, Edge computers, Edge servers, and Edge Video Appliances, enabling customers to enhance production efficiency and accelerate digital transformation. In addition, Advantech will deeply integrate AI, edge computing, and industry applications by launching AI vision cameras, industrial AI inference systems, and a series of Edge LLM servers. Delivering innovative solutions The company will also collaborate with AI ecosystem partners to deliver innovative solutions. Moreover, Advantech plans to expand its presence in key areas such as intelligent inspection, collaborative robots, logistics and warehousing, and smart cities, accelerating the growth of the Edge AI market. Advantech will strengthen its investments in L11 SKYRack integration services Lastly, Advantech will strengthen its investments in L11 SKYRack integration services, providing customers with assembly, integration, and testing services for industrial rack solution. Leveraging its global service network, the company enables localised assembly and delivery, supporting applications in semiconductor front-end equipment, medical imaging, and video streaming to provide comprehensive system solutions. Comprehensive system solutions Advantech Chairman KC Liu stated that in 2025, Advantech will launch a new brand strategy,’Edge Computing & WISE-Edge in Action.’ “Moving forward, the company will deepen its understanding of customer needs by transforming Edge Computing into a competitive advantage, thereby optimising operational efficiency and enhancing decision-making accuracy for clients.” “In the AI era, Advantech aims to drive industry advancement and foster innovation. The company will continue to focus on five key industries: Edge Intelligence Systems, Manufacturing, Energy and Utilities, iHealthcare, and iCity Services & iRetail. Through the software-hardware integration strategy, Advantech will leverage WISE-Edge to connect and enable edge intelligence, building a smart, interconnected ecosystem that facilitates real-time industry insights and drives innovative applications.” “Looking ahead, Advantech will further advance the integration of hardware and software in Edge AI by collaborating with ecosystem partners. The company aims to create sustainable growth and generate long-term value for shareholders, society, and employees—ultimately fulfilling its vision of "Enabling an Intelligent Planet."
Featuring the Wisenet Road AI solution, the camera combines long-range licence plate detection with make, model and colour recognition (MMCR) for over 600 vehicle models. Hanwha Vision, a global pioneer in video surveillance and security solutions, has launched the PNO-A9311RLP – a 4K AI bullet camera with 31x zoom and the intelligent traffic solution Wisenet Road AI. Smart traffic monitoring PNO-A9311RLP delivers precise vehicle recognition while reducing server and bandwidth demands Ideal for smart cities, the camera offers long-range licence plate detection and can monitor two lanes of traffic at speeds of up to 65mph (100km/h). 4K resolution provides clear images while the edge-based Wisenet Road AI solution comes pre-installed and licensed to aid vehicle identification and investigation searches. With Wisenet Road AI, the PNO-A9311RLP can accurately identify type, make, model, and colour of detected vehicles, across 70 automotive brands, 600 models, and 10 colours. As analysis is carried out on the camera (at the edge), server space and bandwidth requirements are reduced. Enhanced traffic insights Operators can gain greater insights into road usage, with planners able to take trends into account when considering the widening of roads or the creation of new bus and cycle lanes. Furthermore, the pre-installed Road AI solution’s dashboard visualises key statistics such as the number and type of vehicles, e.g. cars, buses and trucks, identified per day or week. Optimised vehicle identification AI-powered vehicle recognition help investigators identify suspects even when plates are swapped or incompleteEyewitness accounts, particularly with regards to vehicle licence number plates, can quite often be inaccurate or incomplete. The ability to search for vehicles by partial plate numbers or letters, vehicle type, make, model and colour is of great help to investigating teams when searching footage of a vehicle involved in an incident, for example. Additionally, with criminals frequently swapping the licence number on vehicles to avoid ANPR, police can use make, model, and colour search criteria to cross-reference against reports of stolen vehicles or vehicles involved in an incident. Improved vehicle identification The PNO-A9311RLP has an IR viewable length of 70 metres so licence plates and the make and model of cars can be easily identified in dark scenes. Furthermore, a 6.91~214.64mm (31x) zoom lens enables operators to see the finer details of a vehicle for identification assistance. John Lutz Boorman, Head of Product and Marketing at Hanwha Vision Europe, said, “The PNO-A9311RLP is a powerful camera for ensuring smooth traffic flows in busy areas." "Edge-based Wisenet Road AI provides invaluable contextual information to improve incident responses and investigations, enhancing road safety and traffic efficiency throughout the day.”


Expert commentary
The artificial intelligence revolution in physical security has arrived, transforming how we protect people, assets, and infrastructure. From smart buildings that automatically adjust access protocols based on real-time threat assessments to healthcare facilities using AI-enhanced video analytics for patient safety, these technologies are reshaping the industry landscape. But with this transformation comes a new era of regulatory oversight that security professionals must navigate carefully. Convergence of AI The convergence of powerful AI capabilities with traditional security systems has created unprecedented opportunities for enhanced protections while simultaneously raising important questions about privacy, transparency, and responsible deployment. As these technologies become more sophisticated, security professionals face the dual challenge of maximising their potential while ensuring compliance with evolving regulatory frameworks. The current state of AI in security systems By combining multiple data streams, AI creates a more comprehensive and intelligent security ecosystem Today's AI-driven security solutions extend far beyond traditional security capabilities. Modern systems can understand complex human behaviours, analyse crowd patterns in transportation hubs, detect early signs of trouble in retail environments, and even predict potential security breaches before they occur. By combining multiple data streams — video feeds, access control systems, audio detection, and various sensors — AI creates a more comprehensive and intelligent security ecosystem. Industrial applications The impact is particularly evident in integrated security operations. In healthcare settings, AI systems can simultaneously monitor patient safety, manage access control, and detect unauthorised entries, all while maintaining strict privacy protocols. In education environments, these technologies help safeguard campuses by identifying unusual behaviour patterns while respecting student privacy rights. Retail operations benefit from AI's ability to not only detect potential theft but also analyse customer flow patterns and identify operational inefficiencies. The technology's capabilities continue to expand through: Advanced anomaly detection that establishes normal activity patterns and flags deviations. Predictive analytics that forecast potential security risks before incidents occur. Natural language interfaces that allow security teams to query video data using voice or text commands. Multimodal analysis combining data from thermal cameras, LIDAR, IoT sensors, and other sources. Integration of multiple data sources Security systems are evolving into predictive platforms that can anticipate and prevent incidents These innovations represent just the beginning of AI's potential impact on security applications. As algorithms become more sophisticated and computing power increases, security systems are evolving into predictive platforms that can anticipate and prevent incidents rather than simply respond to them. The integration of multiple data sources allows for a more nuanced understanding of security situations, enabling more precise and effective responses to potential threats. Emerging regulatory frameworks The rapid advancement of AI capabilities has prompted governments worldwide to develop comprehensive regulatory frameworks. The European Union has taken the lead with its AI Act, categorising AI systems based on their potential risks and establishing strict guidelines for high-risk applications. Focus on safe, secure AI The United States is following suit, with recent executive orders focusing on safe, secure, and trustworthy AI development. These initiatives reflect growing global awareness of the need to balance technological advancement with ethical considerations and human rights protection. These regulations are reshaping how security technology providers approach development and implementation. Responsibility-by-design approach Companies must consider the entire lifecycle of their AI solutions, from initial development The focus has shifted toward a "responsibility-by-design" approach, where privacy protection, data security, and ethical considerations are built into systems from the ground up. This includes robust testing protocols, responsible data practices, and continuous monitoring of AI systems post-deployment. Companies must consider the entire lifecycle of their AI solutions, from initial development through deployment and ongoing operation. Transparency, accountability For security professionals, this regulatory evolution means adapting to new requirements around transparency, accountability, and human oversight. Security teams must document how AI systems make decisions, implement safeguards against bias, and ensure human operators maintain final authority over critical security decisions. The regulations also emphasise the importance of data protection, requiring organisations to implement strict controls over how information is collected, stored, and used within AI-powered security systems. Address challenges of AI The regulatory landscape continues to evolve, with new frameworks emerging that specifically address the unique challenges of AI in security applications. These include requirements for regular system audits, mandatory impact assessments for high-risk deployments, and specific guidelines for handling sensitive personal data in security contexts. Organisations must also develop clear procedures for addressing potential AI system errors or biases, ensuring that corrective measures can be implemented quickly when needed. Preparing for the future The challenge lies in maximising security effectiveness while maintaining transparency and public trust The security industry stands at a crucial junction where innovation meets responsibility. As AI capabilities grow more sophisticated, security professionals must balance the use of these powerful tools while adhering to evolving regulatory requirements. This balance becomes particularly critical in smart city applications, where AI systems might monitor public spaces for safety while respecting individual privacy rights. The challenge lies in maximising security effectiveness while maintaining transparency and public trust. Proactive approach Success in this new landscape requires a proactive approach. Security teams should invest in understanding both the technical capabilities and regulatory implications of their AI systems. This includes developing clear protocols for data handling, establishing robust testing procedures, and implementing continuous monitoring systems that can detect and address potential issues before they become problems. Organisations must also create comprehensive training programs to ensure security personnel understand both the capabilities and limitations of AI-powered systems. Human-in-the-loop approach The human element remains crucial. While AI can process vast amounts of data and identify patterns beyond human capability, security professionals must maintain oversight and final decision-making authority. This "human-in-the-loop" approach ensures that AI serves as a powerful tool for augmenting human judgment rather than replacing it. Training and education become increasingly important as security teams must understand not only how to operate AI-enhanced systems but also how to interpret their outputs and make informed decisions based on AI-generated insights. An ever-evolving environment The integration of emerging technologies like large language models and computer vision will create new opportunities Looking ahead, the security industry will likely see continued evolution in both AI capabilities and regulatory requirements. Future systems may incorporate more advanced predictive capabilities, enhanced natural language processing, and improved ability to understand complex human behaviours. However, these advancements will need to develop within an increasingly structured regulatory framework that prioritises privacy, transparency, and ethical use. The integration of emerging technologies like large language models and computer vision will create new opportunities while also introducing novel regulatory challenges. Physical security transformation The transformation of physical security through AI represents both an opportunity and a responsibility. By embracing responsible innovation practices while maintaining strong ethical standards, security professionals can help shape a future where advanced AI capabilities and regulatory compliance work together to create safer, more secure environments for everyone. Need for security guidelines The key to success lies in viewing regulatory requirements not as obstacles but as guidelines for developing more trustworthy and effective security solutions. As the industry continues to evolve, organisations that prioritise both innovation and compliance will be best positioned to leverage AI's full potential while maintaining public trust and regulatory compliance.
As urban populations grow and security challenges evolve, Californian cities have increasingly turned to advanced surveillance systems to enhance public safety. Surveillance infrastructure Between 2022 and 2024, these cities have made significant strides in upgrading their surveillance infrastructure, driven by concerns over crime, public safety, and the need for more sophisticated emergency response systems. This article explores how California's urban areas are improving surveillance technologies and practices, with a focus on citywide initiatives, partnerships with technology firms, and the integration of AI-driven systems. Introduction of smart city surveillance The push toward smart city technology has reshaped the security landscape in California The push toward smart city technology has reshaped the security landscape in California. With the state being home to some of the world's most innovative technology firms, cities such as Los Angeles (LA), San Francisco, and San Diego are leveraging this expertise to develop and implement advanced surveillance systems. Citywide surveillance initiatives Since 2022, the state has seen an increase in citywide surveillance initiatives aimed at addressing rising crime rates, enhancing traffic management, and improving emergency response. These systems include AI-enhanced video analytics, high-definition cameras, and real-time monitoring centers, helping law enforcement track and respond to incidents more efficiently. Key surveillance developments across Californian cities 1. Los Angeles: AI and Facial Recognition Integration Los Angeles has led the way in deploying state-of-the-art surveillance systems, particularly in high-crime areas and transportation hubs. In 2023, the Los Angeles Police Department (LAPD) expanded its use of artificial intelligence (AI) in crime prevention. The department integrated AI-enhanced video analytics with its existing network of over 30,000 surveillance cameras throughout the city, a move designed to improve real-time crime detection and automate the identification of suspicious activity. Privacy law compliance The city government has enacted measures to restrict the application of facial recognition to high-priority cases Facial recognition technology has also been a controversial but increasingly used tool in the city’s surveillance strategy. While privacy concerns remain, LA has implemented strict regulations to ensure that this technology is used in compliance with privacy laws. In response to public concerns, the city government has enacted measures to restrict the application of facial recognition to high-priority cases such as locating missing persons or identifying known offenders. According to a 2023 Los Angeles Times report, these technologies have helped reduce violent crime in areas where the systems are deployed, with a notable 15% reduction in crime rates in Downtown LA. 2. San Francisco: Data-Driven Crime Prevention San Francisco, a tech hub, has similarly embraced advanced surveillance systems, with a focus on predictive policing. The city's law enforcement agencies have adopted data-driven approaches that rely on vast amounts of data collected through surveillance cameras and other sensors placed around the city. Pilot programme In 2022, the San Francisco Police Department (SFPD) introduced a pilot programme that integrated predictive analytics with its citywide surveillance system. By analysing patterns of criminal activity, the system can forecast potential hotspots and allocate resources more effectively. Although controversial due to concerns over profiling and civil liberties, the system has been credited with helping police prevent several large-scale crimes. Transparency in the use of surveillance data Measures include annual audits and public reporting, ensuring that the system adheres to standards Moreover, the city has implemented stringent oversight measures to ensure transparency in the use of surveillance data. This includes annual audits and public reporting, ensuring that the system adheres to legal and ethical standards. A 2023 report from The San Francisco Chronicle indicated that this initiative has led to a 10% improvement in response times to major incidents, particularly in high-density areas like the Financial District. 3. San Diego: Smart Traffic and Public Safety Surveillance San Diego has also taken significant steps to upgrade its urban surveillance capabilities. One of the key focuses of the city has been integrating surveillance systems into its transportation infrastructure. The city’s Smart Streetlights programme, which began as a traffic monitoring initiative, was expanded in 2022 to include surveillance capabilities aimed at improving public safety. Smart Streetlights programme Under this programme, thousands of streetlights equipped with cameras and sensors have been installed throughout San Diego. These lights not only monitor traffic conditions but also detect suspicious activities, accidents, and emergencies. The data collected is transmitted in real-time to the city’s public safety command center, where law enforcement can respond to incidents more quickly. A 2023 evaluation by the San Diego Union-Tribune revealed that the Smart Streetlights programme had helped reduce traffic-related accidents by 12% and had become a vital tool in aiding crime investigations. Cybersecurity measures All data collected through its surveillance network is secure from potential breaches or unauthorised access Additionally, San Diego has focused on enhancing its cybersecurity measures to protect the integrity of its surveillance data. The city government partnered with local cybersecurity firms to ensure that all data collected through its surveillance network is secure from potential breaches or unauthorised access. Key technologies driving city surveillance in California The success of these surveillance initiatives can be attributed to the rapid advancement of several key technologies, which have transformed traditional security systems into sophisticated, AI-driven solutions. 1. AI-Powered Video Analytics AI-powered video analytics is at the forefront of city surveillance efforts in California. This technology enables the automatic detection of unusual patterns or activities, significantly enhancing the ability of law enforcement agencies to identify potential threats in real time. AI systems can analyse vast amounts of video footage quickly, reducing the need for manual monitoring. 2. Facial Recognition Technology Despite its controversial nature, facial recognition technology has been adopted in several Californian cities for high-priority security applications. While cities like San Francisco have restricted its use, other cities such as Los Angeles have integrated it into their surveillance networks under strict legal frameworks. 3. Predictive Analytics This technology allows police departments to focus their resources more effectively by identifying potential hotspots Predictive analytics, used prominently in San Francisco, relies on data collected from various surveillance systems to predict potential criminal activity. This technology allows police departments to focus their resources more effectively by identifying potential hotspots based on past crime patterns. 4. Smart Sensors and IoT Integration Cities like San Diego have embraced the Internet of Things (IoT) by embedding smart sensors into urban infrastructure. These sensors, connected to central monitoring systems, help cities track everything from traffic conditions to air quality. They also play a crucial role in public safety by identifying anomalies and triggering alerts for law enforcement. Challenges and controversies While the benefits of enhanced surveillance are clear, Californian cities face several challenges in the implementation of these technologies. 1. Privacy Concerns The increased use of surveillance technologies, particularly AI and facial recognition, has raised significant privacy concerns. Advocacy groups have called for stricter regulations to prevent misuse and protect individual privacy rights. In response, cities like San Francisco and Los Angeles have implemented oversight committees and enacted laws to govern the use of these technologies. 2. Data Security The risk of cyberattacks targeting sensitive data has prompted cities to invest in robust cybersecurity As cities collect vast amounts of surveillance data, ensuring its security is a major challenge. The risk of cyberattacks targeting sensitive data has prompted cities to invest in robust cybersecurity measures. San Diego's partnership with local tech firms to secure its surveillance infrastructure is an example of proactive steps being taken to address this issue. 3. Balancing Surveillance and Civil Liberties Striking a balance between effective surveillance and the protection of civil liberties continues to be a contentious issue. Critics argue that predictive policing and AI-driven surveillance systems can lead to biased decision-making and discriminatory practices. California cities have responded by introducing transparency measures, including public audits and open-data initiatives, to maintain public trust. California Urban Surveillance: A Model Worth Emulating The last couple of years have seen Californian cities making significant progress in upgrading their surveillance and security systems. By integrating AI, predictive analytics, and IoT technologies into their urban infrastructures, cities like Los Angeles, San Francisco, and San Diego are setting new standards for public safety and crime prevention. However, as these technologies continue to evolve, cities must also address the ethical and legal challenges they present, particularly in the areas of privacy and data security. With careful planning and regulation, California’s approach to urban surveillance could serve as a model for other cities worldwide.
The average business owner or investor has some kind of security precaution in place, especially in the after-hours when there are fewer deterrents to inhibit criminal activity. Security guards, video surveillance systems, motion sensor lights, or even just fake cameras placed around the property are some of the common options people choose. Future of overnight security Smart business owners are starting to realise, however, that some of these traditional security measures are becoming antiquated and no longer cutting. The now and future of overnight security is in remote guarding. Pioneered by companies like Los Angeles-based Elite Interactive Solutions, which was founded back in 2007, remote guarding is revolutionising the overnight security business. Minimising criminal activity Remote guarding is fast becoming the most popular choice among commercial end-user property owners Remote guarding utilises a combination of cutting-edge technology, “digital guards,” highly trained security agents, and local law enforcement if and when necessary to minimise the potential of criminal activity. For those adequately enlightened to its overwhelmingly impressive crime prevention capabilities, remote guarding is fast becoming the most popular choice among commercial end-user property owners to secure and protect their investments. What Is remote guarding? Remote guarding is a revolutionary concept and increasing trend in security systems that utilises a combination of methods to effectively analyse potential threats to property. Cameras and/or other monitoring devices running highly advanced algorithmic software are installed in strategic areas or vulnerable places onsite and remotely located security agents are immediately notified of any activity within a designated perimeter of the property. A blend of AI, cybersecurity, and video analytics When properly deployed by an expert provider, the technology stack includes a proprietary blend of video analytics, artificial intelligence, cybersecurity, and more. Done right, “noise” is effectively filtered out, allowing agents to act on legitimate alerts and achieve zero false alarms communicated to first responders. Today, there are a lot of terms and descriptions tossed around about remote guarding, remote video, virtual guarding, etc., but those attributes must be present to represent the true definition of the offering and its many virtues. Realtime situational awareness Many systems have a two-way speaker that allows the security agent to give a verbal warning When specially trained security agents are alerted to trespassers, possible intruders, or other suspicious activity, they analyse the situation in real-time and determine the necessary level of action. Many systems have a two-way speaker that allows the security agent to give a verbal warning, known as a voice-down, to the individual(s) that they are being watched. Most perpetrators, often believing the response is emanating directly from security personnel on the property itself rather than from a remote command centre, flee immediately. However, if the threat persists, the security agent enlists local law enforcement to get on the scene. Customised remote guarding When properly deployed, remote guarding systems are also customised to specific properties. A team of consultants visits the client’s property to evaluate its vulnerabilities and where to best place cameras and/or other monitoring devices for system efficacy. Traditional security shortfalls According to Keith Bushey, a retired commander for the Los Angeles Police Department, there is much frustration between law enforcement officers and potential victims of crime due to the historically unreliable performance of traditional burglar alarm systems and central monitoring stations. He states about 90% of security-related calls are false alarms, a problem that has been well-documented through the years. Onsite challenges When a legitimate emergency does occur, the perpetrators have often already done their damage When a legitimate emergency does occur, the perpetrators have often already done their damage and/or escaped by the time law enforcement arrives. Onsite security guards are not the remedy either as they bring their own set of issues and challenges. Unexpected costs Traditional security systems can also have unexpected costs. The cost is not only in the security guards’ paycheck or the cost of the equipment itself. The cost comes when an actual incident occurs. In worst-case scenarios, the security guard(s) are injured, the business suffers inventory loss, and/or damage is sustained to the property. The medical and other costs for the security guard(s), the loss of inventory, property damage, deployment of law enforcement resources, and possible fallout of legal expenses all add up. Even in the best-case scenario, false alarm expenses incur if law enforcement is dispatched. These, among many others, are some of the primary issues that remote guarding resoundingly answers as a superior alternative. A bounty of benefits Remote guarding systems have been proven to cut costs and be more effective than traditional security systems. Even though the monthly monitoring costs of remote guarding are significantly higher than traditional intrusion detection system monitoring, the much higher effectiveness in crime reduction, elimination of false alarms, and augmenting or replacement of manned guards result in a substantially higher return on investment (ROI) to the end user. Easy tracking of threats The security cameras already have their image captured on record, making them easier to track down For example, case studies have demonstrated reduced security costs for clients by 60%, on average. These reductions have come from the costs of security staff, inventory, or property loss, plus saving money on insurance premiums and deductibles. The nature of remote guarding reduces the risk and costs of false alarms, with professional security agents able to determine an actual threat before law enforcement is called. In a rare instance when a perpetrator escapes before law enforcement arrives or can detain the individual(s), the security cameras already have their image captured on record, making them easier to track down and identify. Reduction of false alarms The significant reduction in false alarms is greatly appreciated by law enforcement, as it allows them to focus on real emergencies or crises. Better relationships are also developed between clients and law enforcement, as remote guarding systems are highly reliable in providing accurate and real-time information to officers as they approach the scene. In short, it assists law enforcement in doing their job more effectively, as well as more safely thanks to having eyewitness information before engaging in an active crime scene. Partnership When you combine the decreased cost with the increased efficiency and success rate, it is easy to see why many commercial end-user property owners across the country are making the shift to remote guarding. It’s also an outstanding opportunity for professional security dealers and integrators to partner with a remote guarding services provider to bring a superior solution to their end customers and pick up a recurring monthly revenue stream in the process.
Security beat
Companies at GSX 2023 emphasised new ways that technologies such as artificial intelligence (AI) and the cloud can address long-standing issues in the security market. Among the exhibitors at the event in Dallas were companies seeking creative ways to apply technology, lower costs, and make the world a safer place. Reflecting on the exhibition, here are some additional takeaways. Expanding AI at the edge i-PRO is a company reflecting the continued expansion of edge AI capability in the security market. Today, more than half of the company’s lineup supports AI at the edge so the customer has a wide choice of form factors when seeking to leverage the feature set. AI processing relay, extended warranty i-PRO is increasing their warranty period from 5 to 7 years, which could be a lifetime warranty in some cases I-PRO also has an “AI processing relay” device that accepts non-AI video streams and applies edge analytics. AI has progressed from a high-end technology to a feature available in a variety of cameras at different price points. i-PRO is also increasing its warranty period from 5 to 7 years, which could be a lifetime warranty in some cases depending on a customer’s refresh schedule and lifecycle management. Active Guard, MonitorCast The company’s video management system (Video Insight) is continuing to build new features including “Active Guard,” an integrated metadata sorter. Their access control platform, MonitorCast, is a Mercury-based solution that is tightly integrated with Video Insight. Their embedded recorders now have PoE built in. “We can move at a faster pace to fill out our product line since leaving Panasonic,” says Adam Lowenstein, Director of Product Management. “We can focus our business on adapting to the market.” Emphasis on retail and other verticals Shoplifting is a timely issue, and retail is a vertical market that got a lot of attention at GSX 2023. “We see a lot of retailers who are primarily interested in protecting employee safety, but also assets,” says Brandon Davito, Verkada’s SVP of Product and Operations. “Shrinkage is a CEO-level priority.” “Retailers are getting more engaged with security posture, instead of letting perpetrators walk,” Davito adds. Intrusion detection Verkada has an intrusion product that will notify a central station if there is an alarm On the alarm side, Verkada has an intrusion product that will notify a central station if there is an alarm, and operators can review videos to confirm the alarm. Other capabilities seeking to discourage trespassers include sirens, strobes, and “talkdown” capabilities. International expansion Verkada continues to expand internationally with 16 offices in all, including Sydney, Tokyo, and London. The core value proposition is to enable customers to manage their onsite infrastructure more simply, including new elements such as PTZ cameras, intercoms, and visitor management. Verkada emphasises ease of use, including a mobile application to allow access to be managed across the user base. Forging partnerships “We are committed to the channel and industry, and we continue to build relationships and expand our reach,” says Davito. Among the industry relationships is a new partnership with Convergint, which was hinted at during the show and announced later the same day. They are also expanding their partnerships with Schlage, Allegion, and ASSA ABLOY. Working with other verticals They offer new features for K -12 schools, and a new alarm platform is easier to deploy and manage Verkada has also found success across multiple other verticals, notably healthcare, where they integrate with an electronic medical records system. They offer new features for K-12 schools, and a new alarm platform is easier to deploy and manage. They are integrating wireless locks to secure interior doors in schools, looking to secure the perimeter, and installing guest management systems. Transitioning the mid-market to the cloud Salient is squarely focused on the “mid-market,” a large swath of systems somewhere between small businesses and enterprise-level systems. Pure cloud systems are not as attractive to this market, which has a built-out infrastructure of on-premise systems. Adding a camera to an existing system is easier and less expensive than tying it to the cloud. Benefits of cloud It’s a market that may not be ready for the pure cloud, but there are benefits to be realised from adding a cloud element to existing systems. “We are continuing to augment our premise-based solutions with added cloud capabilities and flexibility,” says Sanjay Challa, Salient’s Chief Product Officer. The feedback Salient hears from their customers is “I want to own my data.” The hybrid cloud approach offers the right mix of control, flexibility, and unit economics. Cloud add-on capabilities We want to provide the flexibility for customers to go full-cloud as it becomes more economically attractive" Cloud add-on capabilities include bringing more intelligence about system operation to the user via the cloud. Over time, Salient expects to sell more cloud-centric offerings based on feedback from integrators and customers. “We want to provide the flexibility for customers to go full-cloud as it becomes more economically attractive over time,” says Challa. Vaidio AI technology Salient seeks to be a transition pioneer to help customers realise the path to the cloud. Their approach is “crawl, walk, run,” and helping customers make the transition at each stage. Salient has added AI to its product offering, incorporating Vaidio AI technology from IronYun into a powerful suite and broad array of on-premise analytics, which are gaining traction. The seamless approach makes it easy for customers to embrace AI analytics, although Salient remains broadly committed to open systems. Addressing ‘soft’ features for integrators AMAG is in the process of enhancing its product line with the next generation of access control panels. However, “product” is just part of the new developments at AMAG. In addition to “hard” features (such as products), the company is looking to improve its “soft” features, too; that is, how they work with the integrator channel. Integrator channel Rebuilding a process to make your organisation more efficient, is relatively easy; it just takes a lot of persistence" “We have the depth of our legacy customer base we can learn from, we just need to close the feedback loop quicker,” says Kyle Gordon, AMAG’s Executive Vice President of Global Sales, Marketing, and commercial Excellence, who acknowledges the value of reinstating face-to-face meetings after COVID. “We are laser-focused on nurturing our integrator channel,” he says. “Developing new features takes time, but rebuilding a process to make your organisation more efficient, that’s relatively easy; it just takes a lot of persistence,” says Gordon. More cohesive internal communication is another useful tool, he says. Disrupting the cloud based on price Wasabi is working to make cloud applications less expensive by offering a “disruptive” price on cloud storage, $6.99 per terabyte per month (80% less than hyperscalers). Contending “hyperscalers” like AWS are charging too much for cloud storage, Wasabi is using its own intellectual property and server equipment co-located in data centres around the world. Wasabi sells “hot cloud storage,” which refers to the fact that they only have one tier of storage and data is always accessible. In contrast, a company such as AWS might charge an “egress fee” for access to data stored in a “colder” tier. Cloud storage “We saw that several video surveillance companies had not yet adopted cloud storage, and we saw an opportunity to make it easy to use,” said Drew Schlussel, Wasabi’s Senior Director of Product Marketing. “We just install a little bit of software that allows them to store data in the cloud and bring it back from the cloud.” Performance, protection (cybersecurity), and price Wasabi works with integrators, resellers, and distributors and also integrates with VMS companies Wasabi works with integrators, resellers, and distributors and also integrates with VMS companies such as Genetec and Milestone. Emphasising performance, protection (cybersecurity), and price, their data centres are certified to SOC 2 and ISO 27001 standards. Faster throughput for weapons detection Xtract One is a young company focusing on weapons detection in a time of accelerated concern about gun issues post-COVID. Founded in Canada and based on technology developed at McMaster University, Xtract One has found a niche in providing weapons detection at stadiums and arenas. These customers already have budgets, and it is easy to shift the money to a newer, faster technology. Madison Square Garden in New York City is among its customers. Cost savings solution Xtract One can increase throughput to 30 to 50 people per entrance per minute (compared to 5 to 6 people per minute when using metal detectors). The solution doesn’t require anyone to empty their pockets and the system alarms on items beyond guns and knives. Using Xtract One allows customers to reduce the number of screening lanes and security staff, providing additional cost savings, all while getting fans through the screening process in half the time. Purpose-built sensors The system uses purpose-built sensors looking for specific characteristics, such as reflective and density properties In addition to stadiums and arenas, Xtract One, formerly Patriot One, is also getting “inbound” interest from schools, hospitals, manufacturers, and other verticals that makeup 50% of their business. “We’re on a rocket ride, mainly because the weapons issues are not going away,” says Peter Evans, CEO and Director at Xtract One. The system uses purpose-built sensors looking for specific characteristics, such as reflective and density properties, all correlated by an AI engine. Providing early warning of violence ZeroEyes is another company focused on weapons detection. Their AI gun detection system works with video images to identify if someone is “brandishing” (carrying) a weapon. In other words, the system does not detect concealed weapons. Identifying someone carrying a weapon provides early warning of a possible violent act. Increased response with AI-enables images Images are identified by AI and sent to a monitoring centre where a human confirms the image before contacting first responders. Knowing the location of a shooter enables staff to lock entry points, move people to safety, and direct first responders. The company was founded to leverage existing camera views to stop mass shootings and gun violence by reducing response times.
Acre is a company built on mergers and acquisitions (M&A). Since its founding in 2012, Acre acquired several familiar access control companies, from Vanderbilt to RS2 Technologies, Open Options to Feenics, and several others. Acre itself was acquired in 2021 by UK-based private equity firm Triton, thus launching a new chapter in the company's history. Don Joos was named the new CEO in 2022 and set about transforming Acre from a collection of acquired companies into a coherent whole (representing various brands). A year later, we recently caught up with Don Joos to discuss the "new Acre" and what's ahead. Q: How does your background inform your approach to leading Acre Security? In physical security, there is a shift to more of a software-centric versus hardware approach Joos: This is my fourth company as CEO. What I’ve found along the way is that no matter the size or type of business, there’s a common theme, the business is going through some form of evolution or transformation because the industry they're in is going through an evolution. And today, in physical security, there is a shift to more of a software-centric versus hardware approach, and there’s a shift occurring that’s pulling us to the cloud. I think a key thing here is that while the industry is evolving, we must keep a careful eye on the evolution of the customer because the customer is the one who will dictate the pace of change, and I think that is what a lot of people sometimes lose sight of. Q: It seems Acre is on the path from being a “collection of small companies” to “a collection of brands within a single company.” Joos: I think most people think of Acre as a federation of companies. Acre Security was seen more as a holding company. For me, I think the biggest misconception is just that: “This is just a federation of companies” versus “This is a business.” Acre Security is a business that has a range of portfolios to address key verticals and pivotal business problems for customers. Because of what’s happening now and the market dynamics that are occurring, it ties back to “Who is Acre Security?” We have a clear answer as to where we want to be from cloud access control versus on-premise access control. We have clear answers regarding market segments, visitor management, and intrusion. When you think about it, those are the core areas of our business. Q: What has surprised you the most in your first year or so at Acre? Joos: I think the thing that surprised me the most was how similar the problems are because I was coming into a new industry. It’s surprising how strong a correlation [security has] to other industry transformations that I’ve been a part of. Q: What are the points of differentiation among the various Acre Security brands? Joos: I think if you go back to the history of the company, it was designed to compete. That is, that's how it was set up under the logic of, “If we have three bids in a deal, it increases the odds that we're going to win one of them.” As we evolve, to have sustained scalable growth, it is not just about going shallow and casting a wide net. It’s about creating a concentrated focus. Some of the technology is just inherently older technology. And so for me, it’s about creating migration paths for the customers to move to more modern technology, such as the cloud. I love our installed base. When you think about the cost of acquisition to get a new cloud customer, it costs a lot less when you have an installed base that you can migrate to the more modern solution versus having to spend the money and the sales energy to hunt for that next opportunity. Q: Where has Acre positioned itself in the marketplace? We can take care of your current needs, but we also have a clear migration path to take care of your future needs Joos: If you're ready to go to the cloud, we have an answer for you. If you're not ready to go to the cloud, but you're ready to take more cloud-based applications to continue to evolve, we have an answer for you. If you're not quite ready yet and you're still looking for a market-leading premises solution, we have an answer for you, and we have a migration path when you're ready down the road. So, you have a safe bet with Acre because we can take care of your current needs, but we also have a clear migration path to take care of your future needs. Q: How are you building up your team? Joos: In 2023, we’re getting a lot of core building blocks in place and making investments in people who have experience in this space or aligned industries. It is a balance. I think we need a group that understands the industry and a group that's going to come into it and challenge why we do things the way we do. I think that makes us unique: we have fresh eyes looking at things from a different perspective. With that, you’re naturally going to end up with a better answer to problems because people are comfortable challenging the status quo. Q: How are you seeking to expand your dealer channel and/or transition it from the various dealers “inherited” in previous acquisitions? Joos: The channel invests in Acre Security. Our success is their success, and so what we're proposing to them is a range of solutions that supports their longevity and their financial success. But we also continue to build out our portfolio through organic technology innovation or M&A. We're continuing to make investments in our channel strategy and how our partners interact with us We're continuing to expand their addressable market if they want to make investments with us. We're continuing to make investments in our channel strategy and how our partners interact with us. The design of our upcoming technology right now is built with the channel in mind. We want to ensure that we are not creating any channel conflict or any perceived channel conflict. I think that's usually the worst kind: when it's perceived but not real. You need to be very upfront and clear with communications. Q: What is the biggest challenge in the industry right now? Joos: Companies and customers are looking to embed security into their workflows. What I mean is these are not just standalone solutions anymore. They’re integrating with enterprise resource planning (ERP) and human resource (HR) software systems. In property management, they want it integrated into the fitness center, they want it integrated into the cafeteria areas and the dry cleaners, and so forth. So, this is about an ecosystem, and there are times when we are going to be the core, and there is going to be a lot of technology that is adjacent to us. There are times when we are the adjacency to someone else's core in a smart city or a smart building. This gets to why having an open application programming interface (API) is going to be an important part of the technology evolution. It cannot be a closed environment anymore; that is part of the past. Q: What’s next for Acre? We're constantly evolving our cloud access control as well as our on-premise access control Joos: There is a lot of work going on with integrating the business into a single Acre Security company. This is an investment year for us, we are adding people to our team. We are making a lot of investments from a systems and technology perspective. We have a lot of work right now going into integrating the business from an IT infrastructure perspective and all the tools that we use from an employee perspective. We are making a lot of investment as it relates to the commercial side. You're going to see some next-gen technology coming out from an intrusion perspective. We're constantly evolving our cloud access control as well as our on-premise access control. We're also bringing software applications, too. Q: What is Acre’s “message” going forward? Joos: One of the takeaways for me is this is not the Acre of the past. We are making some bold changes. New things are happening here; you better pay attention because clearly, something is different. I think that's one. I think the second is that as they spend time within us, they're going to realize the wide range of solutions and use cases that we can address, whether you're in access control or cloud, whether you're in intrusion, whether you are in visitor management, or whether you're looking at some network connectivity solutions. The third thing that I think people are going to see is a whole lot of energy as they talk to our people and the passion that you see from the team. If I wrap those three points up in one kind of statement there, I think my goal is that people walk away saying “Something is going on at Acre Security. We better pay attention.”
Matter is a new open-source interoperability standard that will simplify the connectivity of smart home systems, including security. The growing popularity of the Matter 1.0 standard was evident at the large Consumer Electronics Show (CES) in January in Las Vegas, where the standard was heavily promoted by companies including Google, Amazon, and Samsung. A flood of Matter-connected products is on the horizon for ship dates in the second half of 2023. Evolve, and manage IoT standards Creating the standard is the Connectivity Standards Alliance (CSA), formerly the Zigbee Alliance, which changed its name in May 2021. With 300 companies as members, CSA seeks to create, evolve, and manage Internet of Things (IoT) technology standards through a well-established, collaborative process. CSA promotes the benefits of global, open standards, and the value of the IoT to customers and consumers, and seeks to break down the barriers to broad access and adoption of IoT technologies and solutions. Matter The new brand name Matter was launched in May 2021 to designate the standard formerly known as Project CHIP (Connected Home over IP), developed by CSA member companies including Apple, Google, Samsung, and Amazon. There are currently 800 devices and apps certified to the new smart home standard, including various smart home equipment (except video cameras, which will be included in a major release in the fall of 2023). Matter version 1.0 was initial launch in October 2022. Matter 1.0 release Twice a year moving forward, Matter plans a minor release each spring and a major release each fall As part of the Matter 1.0 release, authorised test labs are open for product certification, the test harnesses and tools are available, and the open-source reference design software development kit (SDK) is complete, thus enabling new products to be brought to market. Twice a year moving forward, Matter plans updated releases, a minor release each spring and a major release each fall. Smart home interoperability Currently, a variety of CSA working groups are addressing various aspects of interoperability in the smart home, including issues such as data privacy, security, energy management, and health and wellness, says Christopher LaPré, CSA’s Head of Technology. “Implementing elements requires that the standards alliance be able to multitask on several tracks,” says LaPré. Some development is centering around connectivity and the need for a “hub” to which multiple systems can communicate and incorporate an “identity” to regulate the availability of information to various systems. The standards will enable both do-it-yourself (DIY) systems and devices deployed by professional installers. Addressing privacy requirements The new development will be guided by what installers need to succeed in the home automation" Ecosystems depend on the availability of some type of “identity” to meet privacy requirements. Rules must be implemented across the ecosystem that deploys a “trust system” to ensure privacy. Solving the challenge involves getting all the major players to the table at the technical level to meet the bar from the business and technology perspective. “Integrators and retailers will play a role as Matter continues to evolve,” says LaPré. “New development will be guided by what installers need to succeed in the home automation market.” Matter-certified devices There is still work to be done to expand the 800 certified devices to function throughout the Matter ecosystem and to add new devices over time. One goal is to simplify an integrator’s solution using fewer hubs (and possibly a single hub) to provide a wide variety of services. The timeline of adding new Matter-certified devices may be delayed by the availability of equipment in the global supply chain, says LaPré. Flexibility Multi-admin provides for the simultaneous operation of devices in multiple smart home systems A multi-admin feature of Matter enables more flexibility for multiple ecosystems. A core feature of Matter, multi-admin provides for the simultaneous operation of devices in multiple smart home systems. Accordingly, family or household members could operate the device with the digital assistant or smartphone app of their choice. A bridging protocol helps to tie existing systems together. Amazon, Apple, Comcast, Google, SmartThings, and the Connectivity Standards Alliance came together in 2019 to develop and promote this new standard, joined by fellow Alliance board member companies IKEA, Legrand, NXP Semiconductors, Resideo, Schneider Electric, Signify, Silicon Labs, Somfy and Wulian. Smart device communication Currently, member organisations span all sizes, across a range of business categories. More than 1,700 Member individuals participate in bringing the Matter specification, reference implementations, testing tools, and certification programs to life. Matter's underlying network technologies are Wi-Fi and Thread. Wi-Fi enables Matter devices to interact over a high-bandwidth local network and allows smart home devices to communicate with the cloud. Thread provides a mesh network within the home. Both the Wi-Fi Alliance and Thread Group partnered with the Connectivity Standards Alliance to help realise the vision of Matter.
Case studies
Genetec Inc., the global pioneer in enterprise physical security software, announced The City of Edinburgh Council is using Genetec™ Security Centre as the backbone of its Smart City Strategy. The software is transforming public safety, city services and urban planning by allowing the council to manage all smart city technologies from a single interface. New applications and technologies The council’s Smart City Strategy focuses on introducing innovative technologies to manage aids The council’s Smart City Strategy focuses on introducing innovative technologies to manage resources more efficiently and improve public services. A key barrier to this vision was the city's outdated public space security system, which lacked the ability to integrate new applications and technologies. With funding from the European Regional Development Fund (ERDF) and in partnership with North, Edinburgh has launched a state-of-the-art Smart City Operations Centre built on Genetec Security Centre, a unified platform that combines video surveillance, analytics and IoT sensors, through one platform. Open hybrid-cloud architecture “All truly connected Smart Cities start with unified security as success depends on centralising your operations under one platform. Otherwise, every new IoT device deployed will make you data-rich but information poor,” comments Ben Durrant, Account Executive, Genetec Inc. "Our platform differs from conventional alternatives because of its open hybrid-cloud architecture that offers the flexibility and functionality needed to evolve and keep pace with new requirements.” Capabilities beyond physical security The system not only supports day-to-day functions and the control of large-scale events With a unified platform in place, Edinburgh has been able to expand CCTV coverage in public spaces and enable secure data sharing with partners like Police Scotland, the Fire Service, and Transport for Edinburgh. The system not only supports day-to-day operations and the management of large-scale events such as the Edinburgh Fringe, the Royal Military Tattoo, and the Hogmanay celebrations, but it also extends its capabilities beyond physical security. Security Centre ecosystem Andrew Foster, MD, Public Services at North comments: "The Security Centre ecosystem allows us to gather and visualise useful data sets from advanced analytics IoT sensors on how the city is actually being used by residents and visitors." "This enables the council to make more informed decision making on how Edinburgh can become even safer, greener and better maintained." Improved quality of footage The council credits the software with saving hundreds of man hours that were yet spent manually The council credits the software with saving hundreds of man hours that were previously spent manually trawling through surveillance footage. As well as with helping it to more than double the number of viewing requests from Police Scotland that it can positively respond to. The improved quality of footage submitted as evidence is also expected to increase the number of early guilty pleas, reducing the time police officers must spend attending court to give evidence. Smart City strategy “The benefits for Edinburgh residents are massive. Enhanced public safety, improved services, optimised traffic flow, better infrastructure and city planning,” concludes Gavin Brown, Head of Network Management & Enforcement, Edinburgh City Council. “Genetec and North have proved instrumental in helping deliver our Smart City strategy.”
There are well over 1,200 road tunnels in Norway. Camera-based incident detection is the preferred way to keep these tunnels safe and support tunnel operators in organising a fast incident response. Camera-based detection Gradually introduced since the nineties, camera-based detection is well established. Both visual and thermal imaging cameras have proven to be a fail-proof solution for 24/7 automatic incident detection inside tunnels. With the latest camera technology upgrade of the Damsgård Tunnel in Bergen, Norway is premiering AI-enhanced dual-vision cameras as a new evolution in incident detection. Damsgård Tunnel technology upgrade In 2024, the tunnel will undergo a comprehensive technology upgrade, with the replacement The Damsgård Tunnel is part of Norwegian National Road 555, which runs from Fjell to the city center of Bergen. The road tunnel opened in 1992 and has two tubes of around 2.3 kilometers in length, each carrying two lanes of traffic through the Damsgårdsfjellet mountain.In 2024, the tunnel will undergo a comprehensive technology upgrade, with the replacement of ventilation systems, lighting, drainage, and camera technology. AI-enhanced dual-vision cameras Unique to this project is that, for the first time in Norway, AI-enhanced dual-vision cameras will be used. The traffic cameras from sensor specialist FLIR combine thermal and visual imaging technology in a ruggedised housing and rely on advanced deep learning algorithms that enable the camera to detect stopped vehicles, wrong-way drivers, queues, crossing pedestrians, and even smoke and fires in their early stages. Approximately 80 FLIR cameras are scheduled for installation in the second half of the year. The history of tunnel incident detection in Norway The Damsgård tunnel upgrade is another milestone in Norway’s long-standing efforts to secure the country’s vast number of tunnels. Due to Norway’s complex landscape, with fjords, mountains, and islands, road tunnels have always been a way to solve the region’s unique transportation challenges. Norway has embraced the use of automatic incident detection in its road tunnels ever since the technology came into being, with FLIR setting the pace of this evolution since the beginning. In 1995, FLIR cameras were already used in the 1,500-meter-long Ekeberg Tunnel near Oslo. FLIR automatic incident detection system In 2004, a European directive on road tunnel safety prompted the roll-out of incident detection systems In August 1996, when a bus stopped and caught fire in that tunnel, the FLIR automatic incident detection system generated an alert to the tunnel operators, enabling them to close the tunnel entries and exits and activate warnings to oncoming motorists. In 2004, a European directive on road tunnel safety prompted the roll-out of incident detection systems in tunnels continent-wide and since then the technology evolution has not stopped. Visual and thermal incident detection Initially, visual CCTV cameras were used to detect incidents. The technology enabled first response teams to be deployed minutes, even seconds after an incident or an irregularity (a fallen object, a pedestrian, a car slowing down) was detected. About ten years ago, FLIR introduced thermal incident detection cameras in tunnels. These cameras are established as critical assets that guarantee operators' accurate detection throughout the tunnel infrastructure. 24/7 traffic detection The use of thermal imaging cameras has especially proven valuable for tunnel entrances and exits. There, shadows or direct sunlight can obstruct the view of visible-light cameras and therefore disturb traffic detection. Because thermal cameras detect heat, not light, they have no issues with these phenomena. As a result, thermal cameras can detect traffic 24/7 and in all weather conditions. Fire detection FLIR thermal cameras can also spot fires at the stage of ignition, making them the fastest One of the biggest advantages of thermal cameras in the field of tunnel safety is that they can effectively see through smoke. This makes them the ideal technology for tunnel safety operators or emergency response teams to find their way through a smoke-filled tunnel or for incident detection systems to spot issues in time. FLIR thermal cameras can also spot fires at the stage of ignition, making them the fastest and most reliable technology for fire detection inside road tunnels. The role of dual-vision cameras Both visual and thermal cameras have their merits. A visual camera may provide operators with more detail to assess the nature of an incident, while thermal cameras have proven to be unbeatable in detecting incidents in complete darkness and challenging weather conditions. Currently, both detection technologies can be combined into one system, hereby offering operators a more comprehensive view of the environment and improved accuracy compared to single-sensor systems. FLIR’s TrafiBot Dual AI camera is an example of such a combined system. ITS-Series Dual AID cameras In 2018, FLIR’s ITS-Series Dual AID cameras were installed at the entrance and exit of the Lyderhorn Tunnel near Bergen. In 2021, technology integrator Trafsys also installed 332 of FLIR’s dual-vision cameras in the Hundvåg and Eiganes tunnels, which are part of the extensive Ryfast project. The cameras’ fire detection functionality proved effective when a car fire occurred in the Hundvåg tunnel in July 2020; the FLIR ITS dual thermal AID camera detected the fire within 7 seconds of visible flames, following an initial alert for a stopped vehicle and pedestrians. Artificial Intelligence in incident detection AI algorithms embedded in the FLIR camera analyse captured images in real-time and full-resolution FLIR’s TrafiBot Dual AI, installed in the above-mentioned Damsgård Tunnel announces a new wave of incident detection cameras. The camera also combines a visual and a thermal camera in one unit, but what makes it stand out is the use of artificial intelligence and deep learning. AI algorithms embedded in the FLIR camera analyse captured images in real-time and full resolution. This latest addition to FLIR’s portfolio of AI cameras is setting a new standard for automatic incident detection in tunnels, generating extremely accurate traffic data, incident detection information, and live track data. Video image analysation Of course, analytics on traffic cameras are not new. Early cameras from decades ago already used some form of AI. So, what’s the difference with this new generation of AI cameras? Much has to do with how detection systems analyse video images. Early generations of smart cameras analysed the variation of gray levels in groups of pixels in successive video frames. Smart predictions When a vehicle enters a detection zone, the pixel value within that zone changes, and detection is activated. AI systems, however, look at the entire camera image and use object detection techniques to analyse the traffic scene. This results in much better presence detection, better classification of traffic users, and the ability to determine position, speed, and direction. These new AI systems can handle more complex traffic situations and they are much better at making smart predictions. Identification and classification of objects Computing speeds have increased, hardware prices dropped, and the exponential growth of data has worked It’s not hard to see where this is coming from. Over the past decades, computing speeds have increased, hardware prices dropped, and the exponential growth of data has worked as fuel for making AI better and more efficient. Instead of rule-based analytics—if x happens, then y—data-based systems are now in the lead. These systems can be trained on large datasets of images and learn how to identify and classify objects in an image. They use this knowledge to make decisions based on new images that they have never seen before. Benefits of AI-based detection systems AI-powered detection systems are much more accurate than their non-AI alternatives. For tunnel operators, this is a big deal. Nothing is a bigger nuisance for control room operators than having to pay attention to continuous unwanted alarms. AI can help filter out unwanted alarms by distinguishing between routine activity, weather phenomena, and actual incidents. High performance As an important aspect of their accuracy, AI-based systems are much more successful in detecting different vehicle classes. Detectors from FLIR will easily distinguish between a car and a van, or between a small and a large truck. It’s even possible to train a system to detect specific objects or incidents. And because cameras are so smart, installers nowadays are more flexible in installing their equipment. Even in less ideal camera positions, the detection performance of AI-based systems is high. Vehicle parameters Based on vehicle parameters such as speed and direction, they can easily see where a car is going FLIR’s AI detectors can also predict vehicle trajectories. Based on vehicle parameters such as speed and direction, they can easily see where a car is going, even if for part of that trajectory the view of that car is occluded by a passing truck. This makes detection much faster and more accurate. Operators can even be warned by so-called pre-alarms for cars that are slowing down and likely to cause a collision. Reduces human monitoring For traffic or security operators, AI offers many benefits. Since incidents can be detected much faster and with more accuracy, operators will be able to make better-informed decisions, especially in high-stress situations, and they will be able to deploy emergency teams more quickly. AI will also reduce the need for constant human monitoring, allowing operators to focus on other tasks.AI will benefit traffic planners too. Data collected from a camera can be analysed over time to identify trends, patterns, or areas with a higher potential for incidents. This can be valuable for proactive traffic planning, infrastructure improvements, or for overall risk management. Data as the cornerstone of AI performance AI-based detection systems will become the norm very swiftly. Since these systems depend on massive data sets, it’s easy to understand that the detection performance will soon be determined by the quality of the data it is trained with. High-performance systems will need a lot of data for training—in case video images of traffic—but not just any data that has been plucked from the internet will do. Challenges with publicly available datasets The problem with that approach is that, more often than not, publicly available datasets are limited Some camera manufacturers rely on publicly available datasets to train their AI systems. The problem with that approach is that, more often than not, these datasets are limited or of low quality. For example, internet data sets hardly have any thermal images, traffic images are mostly collected during sunny weather or friendly daytime conditions, and they are often taken from useless angles. FLIR model and prediction AI-based products from FLIR, on the other hand, are trained on datasets that have been collected in-house, over more than 30 years, with data samples that are relevant for practically any traffic scene you can think of. What’s more, FLIR’s datasets are continuously growing and with it the quality of its models and predictions. For FLIR, data is the true quality mark which stands for high-performance, accurate traffic detection. The future is AI Norway and FLIR share an interesting history of evolving incident detection technology. A lot has changed since the installation of the first FLIR automatic incident detection system in the Ekeberg tunnel in 1995. Currently, incident detection systems combine multiple sensors—visual and thermal—and, most importantly, they use AI, which enables them to improve their detection performance over time with every new video image they process. Artificial intelligence has a promising future in incident detection. Norwegian tunnels, and the average daily traffic of 40,000 vehicles in the Damsgård Tunnel, will only benefit from it.
To combat persistent retail crime and deliver peace of mind to workers in the bustling North Leroy Street business district, the City of Fenton Police Department has deployed a new AI-powered video surveillance system with camera-sharing technology to accelerate response time during retail heists or other emergencies. Deter, detect, and apprehend criminals Fenton is a small city with 12,000 permanent residents, but Chief of Police Jeffery Cross estimates that 60,000 people pass through the town daily. Located off Highway US-23, it is a popular shopping and restaurant district for commuters and people from neighbouring cities. Unfortunately, retail criminals also frequent the area. The new video surveillance system is designed to deter, detect, and apprehend retail criminals. Live security camera footage Through a partnership with RapidSOS, this technology gives Fenton’s 911 dispatch professionals immediate access The new system, housed in a rugged, weatherproof cabinet and mounted on a telephone pole with two cameras, includes Eagle Eye 911 Camera Sharing technology. Through a partnership with RapidSOS, this technology gives Fenton’s 911 dispatch professionals immediate access to view live security camera footage during an emergency. “With 911 Camera Sharing, the 911 operator can see the situation unfold and give law enforcement direct, quality information and immediate feedback about what happened and the direction the suspect is headed in,” Cross explained. “That enhances safety for first responders and our community.” Smart Video Search In addition, the security cameras have built-in AI-powered Eagle Eye Smart Video Search, which enables Fenton’s authorised law enforcement officials to quickly search security camera footage for vehicles, people, or objects of interest. “With Smart Video Search you can search for a ‘person wearing a red shirt and black pants’ a ‘blue Honda truck’ or ‘person with a backpack’ and quickly find a shoplifting suspect or determine when a certain vehicle, person, or group of people entered a shopping centre parking lot, which can be critical information for law enforcement,” said Joe Bommarito of Elite Fire Safety, a division of Sciens Building Solutions. This Novi, Mich.-based security integrator is working on the project with the City of Fenton. AI-powered video surveillance “Fenton’s new system with 911 Camera Sharing and AI features such as Smart Video Search is like having a virtual patrol in the Fenton business district,” he added. “Last month the National Retail Federation reported a 93% increase in the average number of shoplifting incidents per year in 2023 versus 2019 and a 90% increase in dollar loss,” said Dean Drako, CEO of Eagle Eye Networks. “AI-powered video surveillance can now be deployed in more areas than ever, offering communities new ways to contend with rising retail crime.”
Newport, a popular vacation destination, has partnered with Sorama to tackle growing noise pollution. By integrating AI technology and products from Axis Communications, Sorama, and FF Group, the city aims to reduce traffic noise and enhance road safety. FF Group’s CAMMRA AI software and DataFactory platform help generate accurate vehicle data in real-time, day or night, to support noise reduction efforts. The challenge How can they address the challenge of traffic noise? What actions can local municipalities take to effectively monitor noise pollution and improve road safety? The solution Newport, hosting 4 million annual visitors, faces traffic noise due to congestion. To address this, the city implemented an AI-based noise camera solution with the Axis Radar-Video Fusion Camera, powered by CAMMRA AI, Sorama Acoustic Monitors, and the DataFactory platform. This system helps adjust noise ordinances and improve traffic safety as part of Newport's smart city initiative. Solution architecture 1. Axis Radar Video Fusion Camera Monitors vehicle speeds up to 125 mph, integrates with CAMMRA AI for licence plate recognition and speed tracking. 2. CAMMRA AI Application Recognize vehicle details (make, model, plate) and merge data with speed from the Axis Radar. 3. Sorama L642 Acoustic Monitors Capture sound levels with 64 microphones and integrate with Axis cameras for detailed vehicle data. Offers integrations with Axis camera, Axis Camera Station and FF DataFactory. 4. DataFactory platform Collects data on all vehicles, including sound level, licence plate, make, model, colour, speed, vehicle type, GPS coordinates, and time, for analysis to help city officials identify emerging patterns. Aggregates real-time data for enforcement, identifying vehicles that exceed sound limits. 5. Axis Camera Station Connected to the City Monitoring Centre, providing ready-to-use data from DataFactory for efficient monitoring and response. Offers a single platform to access all data from loud vehicle events, including bookmarked entries for further analysis. AI-powered technologies FF Group is tackling traffic noise pollution and improving urban safety via AI-powered technologies The partnership between the City of Newport, Sorama, Axis Communications, and FF Group is tackling traffic noise pollution and enhancing urban safety through AI-powered technologies. By integrating tools like the Axis Radar-Video Fusion Camera, CAMMRA AI, and Sorama's acoustic monitoring systems, Newport is proactively managing noise in real-time. Traffic management and noise regulation This solution improves quality of life, supports smart city goals, and enables better traffic management and noise regulation enforcement. With real-time data on vehicle speed, licence plates, and sound levels, Newport can quickly address violations and detect emerging issues, creating a safer and more sustainable urban environment.
The City of Edinburgh is the capital of Scotland and the second most populous city in the country. It is the seat of the Scottish Government and the official residence of the British monarch in Scotland. As well as serving a vital role in government, the city is economically significant for the region, attracting global tourism as well as being home to a world-renowned university. Protecting citizens and visitors as they move through the city and keeping Edinburgh’s roads running smoothly is of the utmost importance. Transforming into a smart city City of Edinburgh Council leadership modernises security and surveillance across the capital The City of Edinburgh Council leadership needed to modernise security and surveillance across the capital. This involved upgrading the control centre to a new smart city operations centre to receive real-time data from Edinburgh’s surveillance network. The centre also integrates with traffic and transport platforms to enhance operational management and improve city planning. Hanwha Vision IP cameras The new control centre gives operators access to real-time data and analytics, for insights that improve response times and situational awareness. Smart technology solutions provider, North, designed a security solution built with more than 100 high-resolution Hanwha Vision IP cameras including the PNM-9322VQP multi-directional PTZ camera and XNO-8080R 5MP IR bullet camera. The solution also incorporates a video management system from Genetec. Comprehensive coverage and intelligence Multi-directional cameras are ideal for monitoring large and complex areas such as city centres Multi-directional cameras are ideal for monitoring large and complex areas such as city centres. The multi-directional PNM-9322VQP features five camera sensors in a single device, minimising the amount of cabling and server infrastructure required compared to installing five separate devices, to improve cost-efficiency while streamlining installation. The XNO-8080R is a 5MP IR bullet camera with accurate video analytics. These analytics - carried out on the device to reduce server needs - include loitering, directional detection, audio detection and sound classification. It features Hallway View to cover narrow areas such as alleyways. Additionally, using the proprietary compression technology WiseStream II improves bandwidth by up to 75% while retaining video quality. Best-in-class cybersecurity Cybersecurity is crucial in a smart city, given the number of connected devices that could be exploited. Hanwha Vision has been hardening its cybersecurity measures for many years with the National Defense Authorization Act compliance (NDAA), UL CAP Certification, and a dedicated security vulnerability response team (S-CERT). Furthermore, North is part of Genetec’s “network of trust” initiative, signalling the close partnership between the two solution providers and their shared focus on securing network and critical surveillance infrastructure. Low-carbon technology Hanwha Vision has been hardening its cybersecurity measures for many years with the NDAA “The new operations centre has been years in the making and it’s fantastic to see it live in action,” said Councillor Jane Meagher, Council Leader, The City of Edinburgh Council. “With cutting-edge low-carbon technology designed to keep the city moving and our communities safe, it drastically steps up our capabilities as a council. Edinburgh is fast becoming an example of a truly smart city and it’s thanks to trailblazing projects like this.” New video surveillance system Andrew Foster, MD – Public Services at North, added: “Helping to drive positive change through smart technology and improved operational systems across Edinburgh is something that North is incredibly proud of. Working together, the city now has access to real-time data that will influence the future of city planning, improve large-scale events and create a greener environment for generations to come.” The new video surveillance system provides Edinburgh with a future-proofed smart city solution with the option to expand and add connected devices such as air quality sensors, smart parking applications and flood sensors.
Edinburgh is Scotland’s capital city and home to over half a million citizens. It’s also a worldwide tourist hotspot that attracts more than 4 million visitors each year. The City of Edinburgh Council is responsible for providing all local government services for the city and its immediate surroundings. In recent years, the city council created a Digital and Smart City strategy. The goal was to introduce innovative new technologies to help solve challenges, better manage our resources, and improve public services. The challenge The existing public security system was no longer fit for purpose and couldn't seamlessly integrate Only one issue stopped the city council from realising its smart city vision. The existing public security system was no longer fit for purpose and couldn't seamlessly integrate new applications and technologies. “It really was a barrier that prevented us from moving forward with our Smart City ambitions,” said Gavin Brown, Interim Service Director-Operational Services at The City of Edinburgh Council. The solution Unified public safety tech With the Security Centre unified security platform, operators can manage CCTV, analytics, and IoT sensors from one interface. They are now more confident and in control when handling day-to-day operations. Powerful analytics and AI-based tools Implementing advanced video analytics and AI-based tools has empowered operators. This greatly enhances situational awareness, allowing them to quickly pinpoint and respond to threats. Greater intelligence from IoT The Council has connected smart waste sensors to reduce pollution, smart building tech to predict dampness and mold issues, and travel monitoring to inform sustainability initiatives. Better collaboration Investing in unified security has enhanced collaboration between city partners Investing in unified security has enhanced collaboration between city partners. Video and data can be securely shared with Police Scotland, the Scottish Fire and Rescue Service, and Public Transport. “The Genetec Security Centre platform has proved truly transformational. Being able to manage all our smart city technologies through a single intuitive interface gives us a more comprehensive view of what’s happening in our city,” Gareth Barwell, Interim Executive Director of Place at The City of Edinburgh Council. Results Edinburgh’s city council credits Genetec™ Security Centre with saving their operations team hundreds of hours previously spent manually reviewing surveillance footage. It has also enabled them to fulfil more than double the video requests from Police Scotland. As a result, Police Scotland recognises that enhanced coverage across Edinburgh City Centre will improve their ability to identify, charge, and convict offenders. With higher-quality footage submitted as evidence, they anticipate a reduction in time officers spend in court providing testimony.
Genetec Inc., the global pioneer in enterprise physical security software, announced The City of Edinburgh Council is using Genetec™ Security Centre as the backbone of its Smart City Strategy. The software is transforming public safety, city services and urban planning by allowing the council to manage all smart city technologies from a single interface. New applications and technologies The council’s Smart City Strategy focuses on introducing innovative technologies to manage aids The council’s Smart City Strategy focuses on introducing innovative technologies to manage resources more efficiently and improve public services. A key barrier to this vision was the city's outdated public space security system, which lacked the ability to integrate new applications and technologies. With funding from the European Regional Development Fund (ERDF) and in partnership with North, Edinburgh has launched a state-of-the-art Smart City Operations Centre built on Genetec Security Centre, a unified platform that combines video surveillance, analytics and IoT sensors, through one platform. Open hybrid-cloud architecture “All truly connected Smart Cities start with unified security as success depends on centralising your operations under one platform. Otherwise, every new IoT device deployed will make you data-rich but information poor,” comments Ben Durrant, Account Executive, Genetec Inc. "Our platform differs from conventional alternatives because of its open hybrid-cloud architecture that offers the flexibility and functionality needed to evolve and keep pace with new requirements.” Capabilities beyond physical security The system not only supports day-to-day functions and the control of large-scale events With a unified platform in place, Edinburgh has been able to expand CCTV coverage in public spaces and enable secure data sharing with partners like Police Scotland, the Fire Service, and Transport for Edinburgh. The system not only supports day-to-day operations and the management of large-scale events such as the Edinburgh Fringe, the Royal Military Tattoo, and the Hogmanay celebrations, but it also extends its capabilities beyond physical security. Security Centre ecosystem Andrew Foster, MD, Public Services at North comments: "The Security Centre ecosystem allows us to gather and visualise useful data sets from advanced analytics IoT sensors on how the city is actually being used by residents and visitors." "This enables the council to make more informed decision making on how Edinburgh can become even safer, greener and better maintained." Improved quality of footage The council credits the software with saving hundreds of man hours that were yet spent manually The council credits the software with saving hundreds of man hours that were previously spent manually trawling through surveillance footage. As well as with helping it to more than double the number of viewing requests from Police Scotland that it can positively respond to. The improved quality of footage submitted as evidence is also expected to increase the number of early guilty pleas, reducing the time police officers must spend attending court to give evidence. Smart City strategy “The benefits for Edinburgh residents are massive. Enhanced public safety, improved services, optimised traffic flow, better infrastructure and city planning,” concludes Gavin Brown, Head of Network Management & Enforcement, Edinburgh City Council. “Genetec and North have proved instrumental in helping deliver our Smart City strategy.”
There are well over 1,200 road tunnels in Norway. Camera-based incident detection is the preferred way to keep these tunnels safe and support tunnel operators in organising a fast incident response. Camera-based detection Gradually introduced since the nineties, camera-based detection is well established. Both visual and thermal imaging cameras have proven to be a fail-proof solution for 24/7 automatic incident detection inside tunnels. With the latest camera technology upgrade of the Damsgård Tunnel in Bergen, Norway is premiering AI-enhanced dual-vision cameras as a new evolution in incident detection. Damsgård Tunnel technology upgrade In 2024, the tunnel will undergo a comprehensive technology upgrade, with the replacement The Damsgård Tunnel is part of Norwegian National Road 555, which runs from Fjell to the city center of Bergen. The road tunnel opened in 1992 and has two tubes of around 2.3 kilometers in length, each carrying two lanes of traffic through the Damsgårdsfjellet mountain.In 2024, the tunnel will undergo a comprehensive technology upgrade, with the replacement of ventilation systems, lighting, drainage, and camera technology. AI-enhanced dual-vision cameras Unique to this project is that, for the first time in Norway, AI-enhanced dual-vision cameras will be used. The traffic cameras from sensor specialist FLIR combine thermal and visual imaging technology in a ruggedised housing and rely on advanced deep learning algorithms that enable the camera to detect stopped vehicles, wrong-way drivers, queues, crossing pedestrians, and even smoke and fires in their early stages. Approximately 80 FLIR cameras are scheduled for installation in the second half of the year. The history of tunnel incident detection in Norway The Damsgård tunnel upgrade is another milestone in Norway’s long-standing efforts to secure the country’s vast number of tunnels. Due to Norway’s complex landscape, with fjords, mountains, and islands, road tunnels have always been a way to solve the region’s unique transportation challenges. Norway has embraced the use of automatic incident detection in its road tunnels ever since the technology came into being, with FLIR setting the pace of this evolution since the beginning. In 1995, FLIR cameras were already used in the 1,500-meter-long Ekeberg Tunnel near Oslo. FLIR automatic incident detection system In 2004, a European directive on road tunnel safety prompted the roll-out of incident detection systems In August 1996, when a bus stopped and caught fire in that tunnel, the FLIR automatic incident detection system generated an alert to the tunnel operators, enabling them to close the tunnel entries and exits and activate warnings to oncoming motorists. In 2004, a European directive on road tunnel safety prompted the roll-out of incident detection systems in tunnels continent-wide and since then the technology evolution has not stopped. Visual and thermal incident detection Initially, visual CCTV cameras were used to detect incidents. The technology enabled first response teams to be deployed minutes, even seconds after an incident or an irregularity (a fallen object, a pedestrian, a car slowing down) was detected. About ten years ago, FLIR introduced thermal incident detection cameras in tunnels. These cameras are established as critical assets that guarantee operators' accurate detection throughout the tunnel infrastructure. 24/7 traffic detection The use of thermal imaging cameras has especially proven valuable for tunnel entrances and exits. There, shadows or direct sunlight can obstruct the view of visible-light cameras and therefore disturb traffic detection. Because thermal cameras detect heat, not light, they have no issues with these phenomena. As a result, thermal cameras can detect traffic 24/7 and in all weather conditions. Fire detection FLIR thermal cameras can also spot fires at the stage of ignition, making them the fastest One of the biggest advantages of thermal cameras in the field of tunnel safety is that they can effectively see through smoke. This makes them the ideal technology for tunnel safety operators or emergency response teams to find their way through a smoke-filled tunnel or for incident detection systems to spot issues in time. FLIR thermal cameras can also spot fires at the stage of ignition, making them the fastest and most reliable technology for fire detection inside road tunnels. The role of dual-vision cameras Both visual and thermal cameras have their merits. A visual camera may provide operators with more detail to assess the nature of an incident, while thermal cameras have proven to be unbeatable in detecting incidents in complete darkness and challenging weather conditions. Currently, both detection technologies can be combined into one system, hereby offering operators a more comprehensive view of the environment and improved accuracy compared to single-sensor systems. FLIR’s TrafiBot Dual AI camera is an example of such a combined system. ITS-Series Dual AID cameras In 2018, FLIR’s ITS-Series Dual AID cameras were installed at the entrance and exit of the Lyderhorn Tunnel near Bergen. In 2021, technology integrator Trafsys also installed 332 of FLIR’s dual-vision cameras in the Hundvåg and Eiganes tunnels, which are part of the extensive Ryfast project. The cameras’ fire detection functionality proved effective when a car fire occurred in the Hundvåg tunnel in July 2020; the FLIR ITS dual thermal AID camera detected the fire within 7 seconds of visible flames, following an initial alert for a stopped vehicle and pedestrians. Artificial Intelligence in incident detection AI algorithms embedded in the FLIR camera analyse captured images in real-time and full-resolution FLIR’s TrafiBot Dual AI, installed in the above-mentioned Damsgård Tunnel announces a new wave of incident detection cameras. The camera also combines a visual and a thermal camera in one unit, but what makes it stand out is the use of artificial intelligence and deep learning. AI algorithms embedded in the FLIR camera analyse captured images in real-time and full resolution. This latest addition to FLIR’s portfolio of AI cameras is setting a new standard for automatic incident detection in tunnels, generating extremely accurate traffic data, incident detection information, and live track data. Video image analysation Of course, analytics on traffic cameras are not new. Early cameras from decades ago already used some form of AI. So, what’s the difference with this new generation of AI cameras? Much has to do with how detection systems analyse video images. Early generations of smart cameras analysed the variation of gray levels in groups of pixels in successive video frames. Smart predictions When a vehicle enters a detection zone, the pixel value within that zone changes, and detection is activated. AI systems, however, look at the entire camera image and use object detection techniques to analyse the traffic scene. This results in much better presence detection, better classification of traffic users, and the ability to determine position, speed, and direction. These new AI systems can handle more complex traffic situations and they are much better at making smart predictions. Identification and classification of objects Computing speeds have increased, hardware prices dropped, and the exponential growth of data has worked It’s not hard to see where this is coming from. Over the past decades, computing speeds have increased, hardware prices dropped, and the exponential growth of data has worked as fuel for making AI better and more efficient. Instead of rule-based analytics—if x happens, then y—data-based systems are now in the lead. These systems can be trained on large datasets of images and learn how to identify and classify objects in an image. They use this knowledge to make decisions based on new images that they have never seen before. Benefits of AI-based detection systems AI-powered detection systems are much more accurate than their non-AI alternatives. For tunnel operators, this is a big deal. Nothing is a bigger nuisance for control room operators than having to pay attention to continuous unwanted alarms. AI can help filter out unwanted alarms by distinguishing between routine activity, weather phenomena, and actual incidents. High performance As an important aspect of their accuracy, AI-based systems are much more successful in detecting different vehicle classes. Detectors from FLIR will easily distinguish between a car and a van, or between a small and a large truck. It’s even possible to train a system to detect specific objects or incidents. And because cameras are so smart, installers nowadays are more flexible in installing their equipment. Even in less ideal camera positions, the detection performance of AI-based systems is high. Vehicle parameters Based on vehicle parameters such as speed and direction, they can easily see where a car is going FLIR’s AI detectors can also predict vehicle trajectories. Based on vehicle parameters such as speed and direction, they can easily see where a car is going, even if for part of that trajectory the view of that car is occluded by a passing truck. This makes detection much faster and more accurate. Operators can even be warned by so-called pre-alarms for cars that are slowing down and likely to cause a collision. Reduces human monitoring For traffic or security operators, AI offers many benefits. Since incidents can be detected much faster and with more accuracy, operators will be able to make better-informed decisions, especially in high-stress situations, and they will be able to deploy emergency teams more quickly. AI will also reduce the need for constant human monitoring, allowing operators to focus on other tasks.AI will benefit traffic planners too. Data collected from a camera can be analysed over time to identify trends, patterns, or areas with a higher potential for incidents. This can be valuable for proactive traffic planning, infrastructure improvements, or for overall risk management. Data as the cornerstone of AI performance AI-based detection systems will become the norm very swiftly. Since these systems depend on massive data sets, it’s easy to understand that the detection performance will soon be determined by the quality of the data it is trained with. High-performance systems will need a lot of data for training—in case video images of traffic—but not just any data that has been plucked from the internet will do. Challenges with publicly available datasets The problem with that approach is that, more often than not, publicly available datasets are limited Some camera manufacturers rely on publicly available datasets to train their AI systems. The problem with that approach is that, more often than not, these datasets are limited or of low quality. For example, internet data sets hardly have any thermal images, traffic images are mostly collected during sunny weather or friendly daytime conditions, and they are often taken from useless angles. FLIR model and prediction AI-based products from FLIR, on the other hand, are trained on datasets that have been collected in-house, over more than 30 years, with data samples that are relevant for practically any traffic scene you can think of. What’s more, FLIR’s datasets are continuously growing and with it the quality of its models and predictions. For FLIR, data is the true quality mark which stands for high-performance, accurate traffic detection. The future is AI Norway and FLIR share an interesting history of evolving incident detection technology. A lot has changed since the installation of the first FLIR automatic incident detection system in the Ekeberg tunnel in 1995. Currently, incident detection systems combine multiple sensors—visual and thermal—and, most importantly, they use AI, which enables them to improve their detection performance over time with every new video image they process. Artificial intelligence has a promising future in incident detection. Norwegian tunnels, and the average daily traffic of 40,000 vehicles in the Damsgård Tunnel, will only benefit from it.
To combat persistent retail crime and deliver peace of mind to workers in the bustling North Leroy Street business district, the City of Fenton Police Department has deployed a new AI-powered video surveillance system with camera-sharing technology to accelerate response time during retail heists or other emergencies. Deter, detect, and apprehend criminals Fenton is a small city with 12,000 permanent residents, but Chief of Police Jeffery Cross estimates that 60,000 people pass through the town daily. Located off Highway US-23, it is a popular shopping and restaurant district for commuters and people from neighbouring cities. Unfortunately, retail criminals also frequent the area. The new video surveillance system is designed to deter, detect, and apprehend retail criminals. Live security camera footage Through a partnership with RapidSOS, this technology gives Fenton’s 911 dispatch professionals immediate access The new system, housed in a rugged, weatherproof cabinet and mounted on a telephone pole with two cameras, includes Eagle Eye 911 Camera Sharing technology. Through a partnership with RapidSOS, this technology gives Fenton’s 911 dispatch professionals immediate access to view live security camera footage during an emergency. “With 911 Camera Sharing, the 911 operator can see the situation unfold and give law enforcement direct, quality information and immediate feedback about what happened and the direction the suspect is headed in,” Cross explained. “That enhances safety for first responders and our community.” Smart Video Search In addition, the security cameras have built-in AI-powered Eagle Eye Smart Video Search, which enables Fenton’s authorised law enforcement officials to quickly search security camera footage for vehicles, people, or objects of interest. “With Smart Video Search you can search for a ‘person wearing a red shirt and black pants’ a ‘blue Honda truck’ or ‘person with a backpack’ and quickly find a shoplifting suspect or determine when a certain vehicle, person, or group of people entered a shopping centre parking lot, which can be critical information for law enforcement,” said Joe Bommarito of Elite Fire Safety, a division of Sciens Building Solutions. This Novi, Mich.-based security integrator is working on the project with the City of Fenton. AI-powered video surveillance “Fenton’s new system with 911 Camera Sharing and AI features such as Smart Video Search is like having a virtual patrol in the Fenton business district,” he added. “Last month the National Retail Federation reported a 93% increase in the average number of shoplifting incidents per year in 2023 versus 2019 and a 90% increase in dollar loss,” said Dean Drako, CEO of Eagle Eye Networks. “AI-powered video surveillance can now be deployed in more areas than ever, offering communities new ways to contend with rising retail crime.”
Newport, a popular vacation destination, has partnered with Sorama to tackle growing noise pollution. By integrating AI technology and products from Axis Communications, Sorama, and FF Group, the city aims to reduce traffic noise and enhance road safety. FF Group’s CAMMRA AI software and DataFactory platform help generate accurate vehicle data in real-time, day or night, to support noise reduction efforts. The challenge How can they address the challenge of traffic noise? What actions can local municipalities take to effectively monitor noise pollution and improve road safety? The solution Newport, hosting 4 million annual visitors, faces traffic noise due to congestion. To address this, the city implemented an AI-based noise camera solution with the Axis Radar-Video Fusion Camera, powered by CAMMRA AI, Sorama Acoustic Monitors, and the DataFactory platform. This system helps adjust noise ordinances and improve traffic safety as part of Newport's smart city initiative. Solution architecture 1. Axis Radar Video Fusion Camera Monitors vehicle speeds up to 125 mph, integrates with CAMMRA AI for licence plate recognition and speed tracking. 2. CAMMRA AI Application Recognize vehicle details (make, model, plate) and merge data with speed from the Axis Radar. 3. Sorama L642 Acoustic Monitors Capture sound levels with 64 microphones and integrate with Axis cameras for detailed vehicle data. Offers integrations with Axis camera, Axis Camera Station and FF DataFactory. 4. DataFactory platform Collects data on all vehicles, including sound level, licence plate, make, model, colour, speed, vehicle type, GPS coordinates, and time, for analysis to help city officials identify emerging patterns. Aggregates real-time data for enforcement, identifying vehicles that exceed sound limits. 5. Axis Camera Station Connected to the City Monitoring Centre, providing ready-to-use data from DataFactory for efficient monitoring and response. Offers a single platform to access all data from loud vehicle events, including bookmarked entries for further analysis. AI-powered technologies FF Group is tackling traffic noise pollution and improving urban safety via AI-powered technologies The partnership between the City of Newport, Sorama, Axis Communications, and FF Group is tackling traffic noise pollution and enhancing urban safety through AI-powered technologies. By integrating tools like the Axis Radar-Video Fusion Camera, CAMMRA AI, and Sorama's acoustic monitoring systems, Newport is proactively managing noise in real-time. Traffic management and noise regulation This solution improves quality of life, supports smart city goals, and enables better traffic management and noise regulation enforcement. With real-time data on vehicle speed, licence plates, and sound levels, Newport can quickly address violations and detect emerging issues, creating a safer and more sustainable urban environment.
The City of Edinburgh is the capital of Scotland and the second most populous city in the country. It is the seat of the Scottish Government and the official residence of the British monarch in Scotland. As well as serving a vital role in government, the city is economically significant for the region, attracting global tourism as well as being home to a world-renowned university. Protecting citizens and visitors as they move through the city and keeping Edinburgh’s roads running smoothly is of the utmost importance. Transforming into a smart city City of Edinburgh Council leadership modernises security and surveillance across the capital The City of Edinburgh Council leadership needed to modernise security and surveillance across the capital. This involved upgrading the control centre to a new smart city operations centre to receive real-time data from Edinburgh’s surveillance network. The centre also integrates with traffic and transport platforms to enhance operational management and improve city planning. Hanwha Vision IP cameras The new control centre gives operators access to real-time data and analytics, for insights that improve response times and situational awareness. Smart technology solutions provider, North, designed a security solution built with more than 100 high-resolution Hanwha Vision IP cameras including the PNM-9322VQP multi-directional PTZ camera and XNO-8080R 5MP IR bullet camera. The solution also incorporates a video management system from Genetec. Comprehensive coverage and intelligence Multi-directional cameras are ideal for monitoring large and complex areas such as city centres Multi-directional cameras are ideal for monitoring large and complex areas such as city centres. The multi-directional PNM-9322VQP features five camera sensors in a single device, minimising the amount of cabling and server infrastructure required compared to installing five separate devices, to improve cost-efficiency while streamlining installation. The XNO-8080R is a 5MP IR bullet camera with accurate video analytics. These analytics - carried out on the device to reduce server needs - include loitering, directional detection, audio detection and sound classification. It features Hallway View to cover narrow areas such as alleyways. Additionally, using the proprietary compression technology WiseStream II improves bandwidth by up to 75% while retaining video quality. Best-in-class cybersecurity Cybersecurity is crucial in a smart city, given the number of connected devices that could be exploited. Hanwha Vision has been hardening its cybersecurity measures for many years with the National Defense Authorization Act compliance (NDAA), UL CAP Certification, and a dedicated security vulnerability response team (S-CERT). Furthermore, North is part of Genetec’s “network of trust” initiative, signalling the close partnership between the two solution providers and their shared focus on securing network and critical surveillance infrastructure. Low-carbon technology Hanwha Vision has been hardening its cybersecurity measures for many years with the NDAA “The new operations centre has been years in the making and it’s fantastic to see it live in action,” said Councillor Jane Meagher, Council Leader, The City of Edinburgh Council. “With cutting-edge low-carbon technology designed to keep the city moving and our communities safe, it drastically steps up our capabilities as a council. Edinburgh is fast becoming an example of a truly smart city and it’s thanks to trailblazing projects like this.” New video surveillance system Andrew Foster, MD – Public Services at North, added: “Helping to drive positive change through smart technology and improved operational systems across Edinburgh is something that North is incredibly proud of. Working together, the city now has access to real-time data that will influence the future of city planning, improve large-scale events and create a greener environment for generations to come.” The new video surveillance system provides Edinburgh with a future-proofed smart city solution with the option to expand and add connected devices such as air quality sensors, smart parking applications and flood sensors.
Edinburgh is Scotland’s capital city and home to over half a million citizens. It’s also a worldwide tourist hotspot that attracts more than 4 million visitors each year. The City of Edinburgh Council is responsible for providing all local government services for the city and its immediate surroundings. In recent years, the city council created a Digital and Smart City strategy. The goal was to introduce innovative new technologies to help solve challenges, better manage our resources, and improve public services. The challenge The existing public security system was no longer fit for purpose and couldn't seamlessly integrate Only one issue stopped the city council from realising its smart city vision. The existing public security system was no longer fit for purpose and couldn't seamlessly integrate new applications and technologies. “It really was a barrier that prevented us from moving forward with our Smart City ambitions,” said Gavin Brown, Interim Service Director-Operational Services at The City of Edinburgh Council. The solution Unified public safety tech With the Security Centre unified security platform, operators can manage CCTV, analytics, and IoT sensors from one interface. They are now more confident and in control when handling day-to-day operations. Powerful analytics and AI-based tools Implementing advanced video analytics and AI-based tools has empowered operators. This greatly enhances situational awareness, allowing them to quickly pinpoint and respond to threats. Greater intelligence from IoT The Council has connected smart waste sensors to reduce pollution, smart building tech to predict dampness and mold issues, and travel monitoring to inform sustainability initiatives. Better collaboration Investing in unified security has enhanced collaboration between city partners Investing in unified security has enhanced collaboration between city partners. Video and data can be securely shared with Police Scotland, the Scottish Fire and Rescue Service, and Public Transport. “The Genetec Security Centre platform has proved truly transformational. Being able to manage all our smart city technologies through a single intuitive interface gives us a more comprehensive view of what’s happening in our city,” Gareth Barwell, Interim Executive Director of Place at The City of Edinburgh Council. Results Edinburgh’s city council credits Genetec™ Security Centre with saving their operations team hundreds of hours previously spent manually reviewing surveillance footage. It has also enabled them to fulfil more than double the video requests from Police Scotland. As a result, Police Scotland recognises that enhanced coverage across Edinburgh City Centre will improve their ability to identify, charge, and convict offenders. With higher-quality footage submitted as evidence, they anticipate a reduction in time officers spend in court providing testimony.


Round table discussion
Technology can be a powerful tool, but it can also be misused. Ethical principles help ensure that technology is used in a way that minimises risks and avoids causing harm to people or society. Issues could include factors such as data privacy and algorithmic bias of certain technologies. As the security industry embraces advanced and evolving technologies, we asked this week’s Expert Panel Roundtable: What are the biggest ethical considerations of using emerging technologies in physical security?
By all reports we have heard, 2024 is rushing by at a rapid pace. Many of us are just now catching our breaths after the busy holiday season, even though spring is practically here. Having had a healthy taste of 2024 already, our Expert Panel Roundtable is eager to weigh in on what lies ahead for the rest of the year to come. We asked this week’s panel: What large trends are driving growth in the physical security industry in the year ahead?
With the new year well underway, 2023 seems almost like a distant memory. However, a bit of distance might be just the thing to enable us to examine the impact of the year 2023 on the physical security marketplace. We asked this week’s Expert Panel Roundtable: What factors had the biggest impact on the security marketplace in 2023?
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