Video analytics

Alcatraz AI, a global provider of frictionless, AI-powered biometric access control technology revolutionising security through facial authentication, is proud to present its eBook, Navigating the Future of Data Centre Security. As the number of data centres grows at an exponential rate leading up to 2025, Alcatraz AI has compiled best practices and strategies for securing sensitive information, beginning with protecting the data centre’s perimeter. Securing sensitive information AI and the need for data in modern businesses are driving data centre growth at an unprecedented pace–Goldman Sachs research shows that data centre power demand is estimated to grow 160% by 2030 and that the number of staff needed to run the world's data centres will grow to around 2.3 million by 2025. To adequately safeguard valuable data, the industry needs to prepare and align for unprecedented growth With this type of growth projecting a market value of $438.7 billion by 2028, there is a heightened risk for potential data breaches due to tailgating–an incident reported to potentially cost organisations up to $2 million. To adequately safeguard valuable data, the industry needs to prepare and align for unprecedented growth in its operations and facilities, including security measures. Biometric security solutions In a world where the global business operations of interconnected industries rely on accurate data that is securely stored and accessible without disruption, it is critically important to secure the perimeter of data centers as the first part of a multi-leveled approach. Implementing biometric security solutions ensures secure access and limits tailgating, which, in turn, reduces the risk of data breaches. Alcatraz AI recognises the complexities of securing data centre environments and knows that securing data begins in the physical world. Together, they seek to deliver secure access control from a different angle, helping data centres better protect critical data and navigate the future with ease. Prioritising perimeter safety "The first line of security begins at the door, especially in an age where the staffing challenges and increased breach risks in data centre environments are beginning to grow. Educating data centres on the importance of safeguarding critical data by first prioritising perimeter safety is critical," said Tina D'Agostin, CEO of Alcatraz AI. "We are encouraging data centres to not overlook physical security, and instead consider options like privacy-first facial authentication to better secure all physical and digital assets. The strategies outlined in this eBook will be an invaluable asset for data centres looking to elevate their physical security and replace outdated methods to keep up with the growth of the data centre market heading into the new year." Physical security solutions Navigating the Future of Data Centre Security was created to provide data centres with an efficient resource Navigating the Future of Data Centre Security was created to provide data centres with an efficient resource to evaluate the state of their centre and learn solutions to combat the complexities data centres are facing.  To accommodate market growth, data centres must re-evaluate their security protocols and focus on physical security solutions like facial authentication to upgrade their current measures in the rapidly expanding market. Converged security protocols Alcatraz AI delivers access control solutions that increase the security of protected facilities and provide business insights while simultaneously making the experience frictionless and touchless for end users. Alcatraz AI's newest security solution, Rock X, bridges the gap between digital and physical security, highlighting the value of converged security protocols for data centres. Their easy-to-use and innovative system will contribute to the success and growth of data centres with features such as seamless integration, tailgate detection and alerting, enterprise-grade security, and a privacy-focused approach to both transform physical security and protect individual privacy.

ZeroEyes, the creators of the only AI-based gun detection video analytics platform that holds the full U.S. Department of Homeland Security SAFETY Act Designation, and RapidDeploy, the pioneering cloud-native solution provider for public safety, announced a strategic industry partnership. The companies will collaborate to provide Emergency Communication Centres (ECCs) and field responders with enriched, real-time critical information to enable faster, more effective emergency responses during gun-related incidents at K-12 schools. NG911 solutions RapidDeploy provides a platform for agencies to integrate their indoor floor plans, panic buttons RapidDeploy's market-pioneering Radius Mapping technology and award-winning Lightning mobile solution serve as the foundation of a connected ecosystem that enables seamless communication and data exchange between 911 agencies and first responders.  With Next Generation 911 (NG911) solutions deployed statewide in 11 states and across 1,500 ECCs, RapidDeploy provides a platform for agencies to integrate their indoor floor plans, panic buttons, and emergency event data to create a unified operating picture for safety. Digital security cameras ZeroEyes' AI gun detection and intelligent situational awareness software layers onto an organisation's existing digital security cameras. If a gun is identified, images are instantly shared with the ZeroEyes Operations Centre (ZOC), the industry's only U.S.-based, fully in-house operation centre, which is staffed 24/7/365 by military and law enforcement veterans. If these experts determine that the threat is valid, they dispatch alerts and actionable intelligence — including visual description, gun type, and last known location — to first responders and school staff as quickly as three to five seconds from detection. RapidDeploy’s solutions ZeroEyes with RapidDeploy will enable key features, including real-time suspect site tracking The seamless integration of ZeroEyes with RapidDeploy’s solutions will enable key features, including real-time suspect location tracking on the Radius map, direct access to human-validated images of the suspect and weapon, and panic proximity alerts for field responders via the Lightning app.  Proximity alerts can be configured to inform responders nearby before the 911 call even reaches the dispatch centre, ensuring they are equipped with essential information ahead of time. Public safety Thus, when the 911 call is received, telecommunicators are already aware that it’s a panic button event, giving them the context they need for swift, accurate triage.  This early insight accelerates decision-making, optimises response efficiency, and strengthens public safety by enabling faster, more informed emergency actions. Integration of technologies  “Our partnership with ZeroEyes marks an important leap forward in response capabilities,” said Steve Raucher, CEO and co-founder of RapidDeploy. “When lives are at stake and every second counts, first responders face critical blind spots that hinder threat assessment. The integration of our technologies improves situational awareness, allowing responders to act swiftly and accurately.” ZeroEyes' AI gun detection technology "Integrating ZeroEyes' AI gun detection technology with RapidDeploy’s solutions marks a major advancement in safety for both our K-12 customers and first responders,” said Mike Lahiff, CEO and co-founder of ZeroEyes. “This partnership will help deliver critical, life-saving intelligence directly to those on the front lines of community protection.”

Rubrik, Inc., the Zero Trust Data Security™ Company, announces a new cyber resilience solution for Microsoft Azure Blob Storage. As organisations become increasingly dependent on the cloud, there is an inherent risk for security blind spots and vulnerable sensitive data. Rubrik brings cyber posture and cyber recovery to provide Microsoft Azure Blob Storage customers further visibility into their cloud data, enabling them business agility and resilience. AI training models Microsoft Azure Blob Storage provides secure object storage for cloud-native workloads Microsoft Azure Blob Storage provides secure object storage for cloud-native workloads, archives, data lakes, high-performance computing, and machine learning.  Optimised for storing massive amounts of unstructured data, organisations across all industries use Microsoft Azure Blob Storage as a critical repository for sensitive business information, personal data, compliance records, and data powering artificial intelligence (AI) training models. Azure Blob protection “Simpson Strong-Tie is dedicated to innovation and superior service in the construction industry," said John Meng, the VP of IT Infrastructure & Operations at Simpson Strong-Tie. "Disruptions in business can affect both our employees and our customers as well as our ability to provide exceptional service." "By leveraging Rubrik’s solutions, including Azure Blob protection, we can ensure comprehensive data protection, compliance, and cyber resilience, which allows us to safeguard sensitive information and provide peace of mind to our employees and customers, knowing that their data is secure.” Security technologies and services “Rubrik Zero Labs recently found that 70% of all Rubrik observed data in a cloud environment is object storage, which potentially has far lower security coverage compared to on premise and SaaS data,” said Anneka Gupta, Chief Product Officer at Rubrik. “More shocking is that nearly 90% of that data is estimated to be either text files or semi-structured files, representing data types that may vary in being machine-readable or covered by prominent security technologies and services. That’s a double whammy - until now.”  Cyber resilience solution "The rise of generative AI and large language models is producing an explosion of data that needs to be secured," said Aung Oo, General Manager of Microsoft Azure Storage. “Protecting that torrent of critical AI data at scale in cloud object repositories like Azure Blob Storage requires a purposefully designed cyber resilience solution that Rubrik delivers.” New services for Microsoft Azure Key benefits of the new services for Microsoft Azure Blob Storage include: Autonomously discover, classify, and provide context on all Microsoft Azure Blob Storage data, without that source data leaving the customer’s environment. Assess the security posture of sensitive data against security policies and data requirements for the business. Continuously monitor sensitive data within Microsoft Azure Blob Storage for risky user activity and provide early warning of emerging threats. Identify and remediate redundant Microsoft Azure Blob data to help reduce cloud costs. Support storing backup data to Microsoft Azure Blob Storage Cool and Cold tiers to lower total cost of ownership Rapidly recover the most recent clean copy using a range of recovery patterns, including object-level and whole container. Rubrik Security Cloud Rubrik’s long-standing affinity with Microsoft to help clients boost their cyber resilience The announcement is an extension of Rubrik’s long-standing relationship with Microsoft to help customers further strengthen their cyber resilience.  Most recent integrations include​​ comprehensive management of Microsoft 365 with an expansion of the Microsoft 365 Backup offering, as well as Rubrik Security Cloud with Microsoft Sentinel and Azure OpenAI Service. Integration with Microsoft Sentinel In 2023, Rubrik became a member of the Microsoft Content AI Partner Program after joining the Microsoft Intelligent Security Association (MISA) and unveiling an integration with Microsoft Sentinel.  Additionally, Rubrik was named 2024 Microsoft Healthcare Partner of the Year. Rubrik’s new data protection capabilities for Microsoft Azure Blob Storage are now generally available.

Cyware, the pioneering provider of threat intelligence management, low-code/no-code automation, and cyber fusion solutions, announced the appointment of Jawahar Sivasankaran as President, marking a pivotal step in Cyware’s mission to empower organisations with advanced threat intelligence and security solutions.  Jawahar brings 25+ years of experience fostering security product innovation, growth leadership, and customer success at Cisco, Splunk, and Appgate. Prior roles of Jawahar Most recently, as President and COO of Appgate, Jawahar led all go-to-market functions, including sales, marketing, and customer success, and served as a Section 16 public company officer.  Previously at Splunk, Jawahar played a key leadership role in transforming specialisation sales for Splunk’s advanced security offerings, driving growth and customer intimacy. Before that, he held various leadership positions in go-to-market and product functions at Cisco. Cyware’s AI efforts Jawahar is active in the startup ecosystem as an investor and advisor focused on scale-up activities Over the past year, he has served as an advisor to pioneering consulting and private equity firms, including with Advent International as an Industry Operating Advisor. Jawahar is active in the startup ecosystem as an investor and advisor focused on scale-up activities.  “Jawahar’s leadership and extensive experience in scaling security platform companies will be instrumental in driving our growth and strengthening our brand,” said Anuj Goel, CEO of Cyware. “Cyware is setting the standard for threat-driven, collaborative cybersecurity, and we look forward to the impact he will have in aligning our teams and delivering unmatched value to our customers. Jawahar’s latest focus on AI for improving security operations outcomes will be instrumental in evolving Cyware’s AI efforts.” Innovative cybersecurity “Joining Cyware, a true pioneer in cybersecurity, is an exciting opportunity to contribute to a visionary pioneer in threat intelligence, collective defence, and automated response," said Jawahar Sivasankaran, Cyware's President. “With a powerful vision and a strong team in place, Cyware is uniquely positioned to deliver meaningful solutions that truly prioritise customer outcomes. Together with our go-to-market teams, we will accelerate growth, deepen customer relationships, and help modernise cybersecurity through innovation and collaboration.” With this appointment, Cyware reaffirms its commitment to innovative cybersecurity and customer-centered solutions, positioning itself for accelerated growth and industry leadership.

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.

Rapid technological advancement, artificial intelligence (AI) and machine learning (ML) are revolutionising traditional on-premises video security systems. These next-level tools are not just enhancing video data capabilities; they're transforming how businesses approach security, operational efficiency, and information analysis. Video analytics have been a part of security systems for many years, but the arrival of deep learning in 2009 marked a turning point. By training neural networks, basic analytics tasks like motion detection, object detection, and tracking objects within scenes have become commonplace. This leap forward has paved the way for more sophisticated AI and ML applications in video security. Proactive security measures AI-powered systems can perform complex tasks such as pose estimation and anomaly detection Today's AI-powered systems can perform complex tasks such as pose estimation, anomaly detection, and behaviour analysis. These capabilities extend far beyond simple, passive monitoring, offering organisations rich insights and proactive security measures.  For instance, analytics can now determine whether people are engaged in hostile or benign interactions, recognise unusual events that may signal safety hazards, and even predict potential security breaches before they occur — all based on analysing massive amounts of data that humans alone could never process. Enhancing on-premises infrastructure While the power of AI and ML in video security is clear, integrating these technologies into existing on-premises systems presents both opportunities and challenges. One of the primary considerations is the increased demand for processing power and storage capacity. As solution technology expands, hardware requirements will increase. This reality necessitates a strategic approach to system design and implementation. Organisations must carefully evaluate their current infrastructure and plan for future needs to ensure their on-premises systems can handle the computational demands of AI and ML tools. However, the benefits often outweigh the challenges. AI-enhanced on-premises systems offer several advantages: Real-time processing: On-premises AI can analyse video feeds in real time, allowing for immediate response to security threats. Data privacy: Keeping data processing on-site can help organisations meet strict data privacy regulations and protect sensitive information. Customisation: On-premises systems allow for greater customisation of AI models to meet specific security needs. Reduced latency: Processing data locally eliminates the need for constant cloud communication, reducing latency in critical security applications. The role of open platform video technology To fully leverage AI and ML capabilities in on-premises video security systems, open-platform video management software (VMS) plays a crucial role. An open platform VMS allows for seamless integration of various AI and ML tools, cameras, and other security devices, creating a highly flexible and scalable system. An open VMS can integrate thousands of cameras and sensors, allowing for centralised management and analysis of vast amounts of data. This approach enables security teams to quickly adapt to new threats and implement new and unplanned AI and ML solutions as they become available. Video system management  The hybrid approach to video system management combines on-premises infrastructure with cloud services It's important to note that many organisations choose to deploy a hybrid approach to video system management that combines on-premises infrastructure with cloud services. This strategy can offer the best of both worlds: the control and low latency of on-premises systems with the scalability and advanced capabilities of cloud-based AI and ML tools. For example, some cities have implemented hybrid data storage models, hosting critical real-time data on local servers while leveraging cloud services for long-term storage and advanced analytics. This approach allows for efficient management of large amounts of high-resolution video data while reducing costs associated with on-premises storage expansion. Practical applications and benefits The integration of AI and ML into on-premises video security systems is transforming security practices across industries, offering benefits that extend beyond traditional surveillance. These advanced technologies enhance security measures while providing valuable insights for operational efficiency and strategic decision-making. By analysing video data in real time, AI and ML-powered systems can detect patterns and automate responses in unprecedented ways. Here are some key examples of sector-specific benefits: Retail: AI-powered analytics can optimise product placement, track shopping patterns, and enhance loss prevention efforts. Education: K-12 schools can use advanced video analysis to address issues like vaping and bullying, monitor traffic, ensure that proper procedures are followed, and provide enhanced safety and security. Manufacturing: AI can streamline quality control processes, detect safety violations, and optimise production line efficiency. Healthcare: Intelligent video systems can monitor patient safety, manage access control, and even assist in documenting and verifying that procedures and protocols are followed appropriately. Transportation: AI-enhanced video systems can improve traffic management, enhance security in transit hubs, and assist in incident response. Challenges and considerations Ensuring access to robust, diverse, and representative data sets is essential for training AI models effectively AI and ML hold great promise for on-premises video security, but organisations may encounter challenges during implementation. The considerable upfront costs could discourage smaller businesses or those with tight budgets. Nevertheless, this should be viewed as a long-term investment with significant returns in enhanced security and operational efficiency. Implementing AI-powered systems in video security can be complex, often requiring specialised skills, potentially creating a gap within existing IT or security teams. To bridge this skills gap, organisations may need to invest in training or partner with external experts to address this challenge. Additionally, the quality of data is crucial for effective AI and ML implementation; poor or insufficient data can result in inaccurate analyses and unreliable results. Ensuring access to robust, diverse, and representative data sets is essential for training AI models effectively. Benefits of integrating AI and ML Ethical considerations surrounding privacy, consent, and potential algorithmic bias are also critical. Organisations must strike a balance between enhancing security and safeguarding individual privacy rights to maintain public trust in these technologies. Despite these challenges, the benefits of integrating AI and ML into on-premises video security systems often outweigh the difficulties. Careful planning, resource investment, and a strong focus on ethical and regulatory compliance can lead to more effective, efficient, and intelligent security solutions. Future outlook Edge computing capabilities will enable sophisticated AI processing directly on cameras The future of AI and ML in on-premises video security promises significant advancements that will address current limitations and unlock new possibilities.  Edge computing capabilities will enable sophisticated AI processing directly on cameras and other security devices, reducing strain on central servers and potentially lowering hardware requirements. This, combined with more efficient AI algorithms, will democratise access to advanced AI and ML capabilities for organisations of all sizes. AI-powered analytics Predictive analytics will become a cornerstone of future video security systems, marking a shift from reactive to proactive security measures. As AI models become more sophisticated, their ability to anticipate and prevent security incidents will improve dramatically, revolutionising risk management and incident response.  The integration between video security and other business systems will deepen, with AI-powered analytics providing insights beyond security into business operations and strategic decision-making. Data for training AI models Explainable AI will become more overall, which is vital for building trust in automated systems Automation of security processes will reach new heights, freeing human operators to focus on high-level decision-making and complex situations. To support this evolution, we'll likely see increased use of synthetic data for training AI models, addressing privacy concerns, and improving model robustness. Explainable AI will become more prevalent, which is crucial for building trust in automated systems and meeting regulatory requirements. For security professionals, embracing these technologies is no longer optional but necessary to remain competitive and provide the best possible service to clients. By leveraging open platform VMS and carefully planning system architectures, organisations can create flexible, scalable, and powerful video security solutions that not only protect assets but also drive business value. Enhanced video security systems The key to success will be finding the right balance between on-premises control and cloud-based capabilities while addressing important considerations around privacy, ethics, and regulatory compliance. With thoughtful implementation and ongoing adaptation, AI and ML-enhanced video security systems will continue to play an increasingly central role in safeguarding our businesses, institutions, and communities.

Security professionals are recognising the intelligence value of leveraging publicly and commercially available information. This information can now be accessed more effectively from typically hard-to-reach regions. Also, the technological capabilities have matured in our age of artificial intelligence, machine learning, and data science. Intelligence has historically been based on classified data. However, today’s unclassified data, including open-source intelligence (OSINT), is increasingly being used to provide context and queuing for other types of intelligence. Advanced identity intelligence Babel Street is a technology company providing advanced identity intelligence and risk operations using an AI-enabled data-to-knowledge platform to unlock insights from a flood of data. The company provides advanced data analytics and intelligence for the world’s most trusted government and commercial organisations. Experts have predicted that by 2025 over 463 exabytes of data will be generated each day globally The sheer volume of data is growing exponentially. Experts have predicted that by 2025 over 463 exabytes of data will be generated each day globally. Not only are we seeing exponential growth in the volume of data, but there is also disparity in the veracity and the variety of data. This is being compounded by the ‘app economy’ in which data is created in a new format for every app added around the globe. Human language technology “The problem is that the data ‘junk’ and the ‘crown jewels’ are in the same bucket, and government and commercial entities need better and faster ways to extract intelligence from these torrents of data,” says Farid Moussa, VP, Strategy & Public Sector, Babel Street. Prior to joining Babel Street, Farid retired from the National Security Agency (NSA). He has guided video, image, speech, and text analytics (VISTA) and developed an appreciation for human language technology. An elusive source of data is the Dark Web, where every user, by design, is attempting to obfuscate their identity, and bad actors are hiding much better. “This presents a cat and mouse game – the cat must be smarter than the mouse, but the mouse is continually getting smarter,” says Moussa. Intelligence tools for data analysis SIGINT and HUMINT – while both vital – are also the most expensive forms of intelligence There are several intelligence tools for analysing data. One of them is signals intelligence (SIGINT), which refers to electronic transmissions collected by ships, planes, ground sites, or satellites. Another is human intelligence (HUMINT), which is collected in a human-to-human fashion. Open-source intelligence (OSINT) is obtained by searching on topics or entities of interest that are publicly available on the Internet at large. Today, these various categories are often done in ‘silos of excellence.’  However, the best practice is using all forms together in a holistic fashion. SIGINT and HUMINT – while both vital – are also the most expensive forms of intelligence, while OSINT, which is growing in importance, is most cost-effective. All are vital forms of intelligence; OSINT is complementary and crucial to holistic intelligence practices. Holistic intelligence practices When it comes to physical security of people and places, OSINT has become a critical source of actionable information. Security directors leverage Publicly Available Information (PAI) to safeguard against threats to individuals, property, travel routes, and event sites. By monitoring PAI, security teams can detect and respond to potential dangers, including during and after events where thorough preparation is vital. Online information can contain warning signs of impending threats. It informs security professionals in uncovering digital traces, confirming intentions, and addressing risks across language barriers, ensuring proactive risk management for the protection of people and property. Role of Natural Language Processing (NLP) The Internet and social media were mostly English language by default, but that has changed exponentially Natural Language Processing (NLP) is a crucial capability that has evolved to recognise the richness and variety of words and names in multiple languages and scripts, and their use across cultures. Using machine learning and linguistics algorithms, the technology simultaneously considers numerous types of name variations. At one time, the Internet and social media were mostly English language by default, but that has changed exponentially.  Babel Street’s world-class entity matching technology measures over 100 features to calculate the similarity of entities across multiple languages. Despite advances in data management and the cloud, there are still multiple challenges and complexities with integration of these data elements. Challenges include spelling variances/phonetics, language translation issues, criminal evasion, human error upon input, typos, etc. Accessing data from a scattered landscape While there have been advancements in cloud technologies, agencies utilising open-source data are typically working within a highly scattered data landscape and must use a wide array of tools to get at the relevant pieces. This fragmentation makes it difficult to run analytics and apply AI and machine learning at scale in order to derive actionable insights.  Unstructured and relationship data are visualised through advanced link analysis As with many disciplines, artificial intelligence (AI) is changing the game when it comes to intelligence. NLP and AI algorithms are employed to enhance datasets for greater quality, usability, and completeness. Unstructured and relationship data are visualised through advanced link analysis, geographic heat maps, influential entity carousels, topic clouds, and patterns by time and day. Geographic heat maps The advanced algorithms accurately score and prioritise critical entities within the relationship network while providing the citations from which an AI/ML-based decision was made. “With the democratisation of AI, the world is becoming flat,” says Moussa. “Just like the most prosperous countries, even the poorest countries have the most advanced capabilities to do damage. Third-world economies often present a scenario where the financial gain of nefarious schemes and low-to-no regulation combine to incentivise bad actors.” The Challenges of Name Matching Identity has been an ongoing challenge for intelligence analysis due to the vast complexity of linguistics, spelling and cultural variances, human error, as well as human evasion. Technology and data science approaches are maturing, however machine translation can still struggle with meaning. The best-of-breed natural language processing capabilities run against the data while it still is in its native language. This minimises the occurrence of analytic errors caused by inaccurate machine translations. This minimises the occurrence of analytic errors caused by inaccurate machine translations It’s tempting to think that name matching is like doing a keyword search. The complexity of language makes it more challenging. New names are constantly created, with multiple spellings and no set of rules to encompass how names are formed. They are variable across languages, scripts, cultures, and ethnicities. Culturally specific nicknames and aliases add to the complexity. Replacing human involvement The investigation of the Boston Marathon Bombing in 2013 spotlighted an example of the significance of intelligence analysis. Even though the FBI had issued a detain alert for Tamerlan Tsarnaev back in 2011, Tsarnaev managed to travel to Russia in January 2012; and in July 2012, he returned to Boston. He was not detained on either occasion because there were too many names on the lists, and Tsarnaev’s last name had been spelled differently from the way it was on travel documents, thus enabling him to get through security. With the Internet, social media, and the dark web, there’s been an exponential increase in public communications in various languages, adding significantly to the amount of analysis required to keep societies safe. Name matching, using AI, analyses multiple contextual data points across languages to arrive at matches. Name matching, using AI, analyzes multiple contextual data points across languages to arrive at matches A common misconception is that this technology will replace human intelligence. “It’s more accurate to recognise its role as a force-multiplier, allowing humans to focus on the on the harder problems and/or vetting the results of AI,” says Moussa. “The technology can efficiently analyse massive volumes of data and distill it into actionable information in a timely manner. It augments human capabilities, enabling analysis at speed and scale beyond human capacity, without replacing human involvement.” Commercial Technology to the rescue “When it comes to threat and identity intelligence, we face a risk-confidence gap, underscored by the challenge of integrating traditional tactics with the modern digital landscape,” adds Moussa. “We cannot ‘hire’ our way out of this problem. Instead, it is imperative that we adopt technology to scale our efforts and free humans to solve the harder problems that machines cannot solve yet.” The public sector loves to build things, but there are time-to-value and return-on-investment considerations to the ‘build or buy’ decision. When commercial technology can be leveraged by government, it frees resources up to work on problems that the commercial world hasn’t yet figured out, says Moussa. “The public and private sectors need to come together – one team, one nation, working together with mutual trust and collaboration,” he says.

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. 

GSX 2023 has its share of new product announcements, although many of the new products are enhancements to technologies shown at last spring’s ISC West show in Las Vegas. Booth traffic on the first day seemed busy at the Kay Bailey Hutchison Convention Center in Dallas, although one exhibitor complained that it takes some time for the traffic to make its way to the farthest areas of the show floor. Apparent throughout the GSX show is an expanding idea of what constitutes security. Increasingly, ‘security’ technologies offer benefits throughout other parts of a company or institution. Security is also being broadened to encompass ‘safety,’ including emergency response and wider issues of keeping a company safe. Managing multiple systems People look at the systems they have, and they are looking for more information" Manufacturers at GSX are talking about more than new products. Rather, they are offering new approaches to turn products into ‘solutions’ for customers. Among the benefits of new systems is the availability of more data.  “People look at the systems they have, and they are looking for more information and data and insights from their systems,” says Kyle Hurt, Genetec’s Area Vice-President of Sales for the US and Canada. “In the past, if I’m managing multiple systems and spending time and resources, I am making sure systems are operational. Today, it’s more like: How do I make my enterprise more efficient? I spend less time on making sure systems are working together but more time on how we can use the information.” Manufacturers at GSX are talking about more than new products Security control room Genetec is enhancing its Security Center 5.11 version with a newly redesigned web client that provides new capabilities related to system audio, including the ability to trigger a public address from a mobile device in an emergency, two-way audio to and from the security operations centre, and the ability to record an incident. The new web client offers new levels of “Security on the go,” says Hurt. A mobile device becomes an extension of the security control room. “Customers want to have more remote capabilities and have their security personnel out and about, not tied to a desk,” says Hurt. The new web client works to unify the four pillars of the Security Centre— video, access control, license plate recognition, and now audio.  Single source manufacturer Audio can now be used to broadcast a message, respond to an incident, and notify people" “Audio has taken time to develop legs in our ecosystem,” says Hurt. “We have been developing partnerships and use cases beyond an intercom at the door. Audio can now be used to broadcast a message, respond to an incident, and notify people en mass of what’s going on.” Manufacturers are also fine-tuning how they work to meet customers’ needs. “Customers want one point of contact, a single source manufacturer, and a solution that reflects the manufacturer is listening to the voice of the customer,” says Jerry Burhans, Managing Director of ASSA ABLOY Global Solutions - Critical Infrastructure, which seeks to be a global partner to critical infrastructure industries. The Critical Infrastructure business works across the various product groups of the notoriously siloed company to bring together solutions aimed at meeting each customer’s need. Manufacturers are also fine-tuning how they work to meet customers’ needs Best-in-class technology “We try to have best-in-class technology and collaborate within ourselves to make sure we have what customers need,” says Burhans. Critical infrastructure industries such as water, power and energy, oil and gas are developing standards to help support preparedness of the nation’s infrastructure, and ASSA ABLOY Global Solutions is helping operators secure access and provide audit trails on locking hardware and keys within their security perimeters. Managing customer assets Johnson Controls’ new OpenBlue Service for the security device market seeks to proactively manage customer assets (equipment) as a service. The company’s software platform of connected solutions monitors and manages security devices across vendors and provides remote support services including skilled engineers who can work to ensure that a company’s assets, including cameras and access control readers, operate dependably. Working remotely, OpenBlue analyzes the performance of each system component  Johnson Controls estimates that, unfortunately, up to 25% of a company’s security assets may not be working as intended, whether they lack the latest firmware update or are not connected. Working remotely, OpenBlue analyses the performance of each system component and responds to ensure equipment operates as intended. “We believe we can close that gap with our solutions,” says Greg Parker, Vice President, Innovation & Portfolio Management for Johnson Controls.  Physical security equipment A big advantage of OpenBlue for security customers is the ability to manage cybersecurity and threats at the edge, which may not currently be addressed by the IT department. The OpenBlue offering includes an embedded ‘air wall,’ which is a zero-trust architecture for physical security equipment. OpenBlue also helps customers manage the ever-changing lifecycles of various assets. Another concept prompting discussion at GSX 2023 is the gap between what a customer expects from a product and what the product can realistically deliver. With endless promotion in the last several years centring on concepts such as artificial intelligence (AI), is it any wonder that customers may sometimes have unrealistic expectations about what a technology can accomplish? The good news at GSX is that, as progress marches on, newer technologies are getting closer and closer to delivering on customers’ most ambitious expectations. The forward momentum of technology development is evident throughout the GSX 2023 show floor, reflecting the promise of even greater product capabilities in months and years to come.

360 Vision Technology, the UK manufacturer of ruggedised HD, radar and thermal PTZ imaging cameras, has supplied its Invictus TX streaming camera surveillance technology for installation at South Tyneside Council (STC) car parks. Part of a wider STC CCTV surveillance scheme, thirty 360 Vision Invictus TX cameras have been installed by integrated technology solutions provider, North, to provide 24-hour monitoring for car parks located across South Shields. Invictus TX cameras for STC car parks Daniel Chappell, Technical Account Manager at North takes up the story: “Historically, South Shields had an existing public safety CCTV system, which was mainly street focused. However, this camera network had become unreliable with age, with some cameras being removed. As part of a project to overhaul the system, an opportunity arose for the STC car parks department to allocate to a new surveillance solution, to cover its twelve town centre car parks.” He adds, “After discussing the car parks’ CCTV requirements with long-term client STC, we set about securing a robust solution, with technical support supplied in discussions with the team at 360 Vision. We outlined the technical requirement and video transmission restrictions of the project to 360 Vision’s technical team and were delighted with the enthusiasm and technical understanding of the demanding requirements of this installation.” Low-cost video transmission Daniel Chappell continues, “While cameras were required to replace existing devices, mostly in existing camera tower locations, the choice of video transmission needed to be re-considered, as the legacy fibre optic cabling had become unreliable and a replacement fibre network would have been prohibitively expensive.” He further states, “On consideration of the cabling issue, 360 Vision suggested that we consider their TX streaming camera option, to transmit camera video wirelessly, over 4G mobile networks. This would have the benefit of substantially low-cost video transmission compared to the expense and civil works disruption required to own or lease a new fibre network, totally negating the need for fixed cabling.” Securing the best 4G network supplier The new Invictus PTZ TX cameras are now securing STC car parks with video streaming Daniel Chappell adds, “Taking-up the idea and to secure the best 4G network supplier for each TX camera, exact camera locations were provided and cross referenced with network operators to provide the best quality of signal at each specific camera location.” Utilising 4G unlimited data sim cards and backed-up by on-the-edge built-in camera recording, the new Invictus PTZ TX cameras are now securing STC car parks with video streaming, supplying high-quality wireless images to a Veracity Viewscape VMS in the main STC control room. Control room monitoring In addition to control room monitoring, authorised operatives in the field can view selected Invictus TX camera images using a laptop browser or mobile phone. Councillor Jim Foreman, Lead Member for Housing and Community Safety at South Tyneside Council, said: “This investment forms part of wider improvements to our CCTV provision, which is a vital tool in helping to keep our residents and visitors safe.” Reliable video system for monitoring the cameras He adds, “The surveillance flexibility and technology that comes with this new system greatly enhances the safety, security and management of the car parks. Staff has a reliable video system for monitoring the cameras and supporting them to manage and respond to incidents in real time more quickly and effectively.” Councillor Jim Foreman continues, “The upgrade demonstrates our commitment to providing safe and secure car parks, many of which hold prestigious Park Mark awards in recognition of good management and maintenance, as well as appropriate levels of lighting, signage, cleanliness and surveillance.” Close-up imaging and enhanced night-time vision The 360 Vision Invictus TX cameras installed deliver close-up imaging via their 30x zoom lens Featuring continuous rotation pan, unobstructed 360-degree view and 160-degree tilt, the 360 Vision Invictus TX cameras installed deliver close-up imaging via their 30x zoom lens and excellent night-time vision, being equipped with optional on-board white light LED technology. Daniel Chappell explains, “If a network becomes crowded and the transmission bandwidth reduced, for example, during events such as the Great North Run, the TX camera will automatically optimise its video compression to maintain the best quality of video available.” Advanced functionality Daniel Chappell adds, “This advanced functionality offers peace-of-mind for STC car parks that the best quality video will always be received for monitoring, whatever the network conditions. And in the case of a network outage, no essential video will be lost, as back-up recording is stored in the Invictus TX camera head, ready for ‘on-demand’ download and viewing when the network has recovered.” The cameras are now providing comprehensive coverage of the STC car parks, at a fraction of the cost associated with traditional hard-wired video transmission infrastructure. Integrated LED white light technology Adrian Kirk, Business Development Director at 360 Vision Technology, commented: “The combined Invictus TX camera and integrated LED white light technology makes it the perfect choice for the demanding coastal environment at STC’s South Shields car parks.” Adrian Kirk adds, “For the ultimate in imaging performance, Invictus’ ultra-low light technology 1/1.9’’ ULL sensors deliver brighter, crisper and more defined colour images, even at night-time. We are proud to have delivered a practical Invictus TX based camera solution as part of the STC CCTV network upgrade.”

Ohio’s Nationwide Arena, home of the Columbus Blue Jackets of the National Hockey League (NHL), is protected by an outdated, end-of-life security system. The cost to maintain and repair it was becoming unsustainable. The system is composed of multiple disparate systems with different interfaces and management systems, and multiple requirements for software updates and support. Situational awareness The Security Director of the Arena wanted to modernise the system to enable proactive alerts for situational awareness and a unified platform to manage and visualise all 350 cameras installed across the venue. Offering a camera-agnostic solution, Hive Logic chose to keep the existing camera deployment and retrofit it with a powerful video management system. A 3-cluster enterprise server is used to manage all video streams and access control systems, empowered by Hailo’s AI accelerators for high-computer workloads. The Product The Hive software enables video management, access control, and AI video analytics running applications such as: People count to monitor the entrance and exit of the venue. Zone management for high traffic/dwell time. Security forensics to identify regulation violations and crime. Storage and search to identify past events and provide video evidence. Iron Link servers from Velasea are used in a cluster, sharing data to distribute workload and uptime. Each server is equipped with a HailoCentury 0804 PCIe acceleration card with 104 TOPS. Why Hailo? Lower Cost: The previous system did not include AI capabilities. GPUs were considered in the past but were too expensive to deploy at such scale. Hailo brought the most cost-effective solution while maintaining high computing capabilities. Scalability: Hailo’s scalability allows more cameras without overloading the central processing infrastructure while maintaining high accuracy in detecting and identifying objects. AI/ML pipeline “Hailo is the ideal choice for our product because it enables real-time analytics on camera streams, without relying on a central analytics server. This enhances bandwidth efficiency and overall performance while reducing power consumption." "Now we have a very robust AI/ML pipeline to rapidly deploy new AI models onto our edge devices," said Nate Green, Hive Logic, CEO. Effective and simple “I am grateful for HIVE and the wonderful technologies they offer as a standard package," Barry Kirby Security Director, Nationwide Arena. "The introduction of Hailo then makes it a highly effective and simple system to navigate.”

Jacksons Fencing has successfully completed the installation of an innovative sound reduction barrier and security fencing system for Matthews Haulage at their Essex logistics facility. The project, completed in 2024, was designed to address the haulage company's dual needs for noise control and site security, providing a durable, compliant, and efficient solution. Robust security Matthews Haulage, a long-established player in the transport and logistics sector, sought to minimise noise pollution generated by its 24-hour operations while protecting its valuable assets. With residential areas and commercial properties nearby, the Essex facility required a solution that not only adhered to stringent environmental noise regulations but also provided robust security against unauthorised access and theft. Expertly engineered The barrier was engineered to meet the dual requirements of sound absorption and site security Jacksons Fencing installed a 3.5 metre high, 141.5-metre-long absorptive sound reduction barrier around the perimeter of the warehouse. The barrier was engineered to meet the dual requirements of sound absorption and site security. Using advanced sound-absorptive materials, the barrier effectively dampens high-frequency noise from haulage and loading activities, preventing it from reaching nearby residential and commercial areas. This noise reduction is crucial in maintaining Matthews Haulage’s compliance with local environmental regulations, helping to reduce noise complaints and strengthen relations with the surrounding community. Certified safety Given its proximity to a busy road, Jacksons Fencing ensured that the barrier met UKCA standards; it is certified as a whole system that complies with strict safety and performance standards necessary for the mitigation of road noise. This UKCA marking guarantees the long-term reliability of the barrier under challenging conditions, including traffic-induced vibrations and environmental stressors, reinforcing Matthews Haulage’s commitment to regulatory compliance and operational resilience. Combining noise reduction with security Beyond noise mitigation, the 3.5-metre-high barrier functions as a robust security fence Beyond noise mitigation, the 3.5-metre-high barrier functions as a robust security fence. Its solid construction provides a strong physical deterrent against unauthorised access, effectively preventing trespassing, theft, or vandalism. Additionally, the height and opacity of the barrier afford the facility excellent privacy and concealment, reducing the chance of opportunistic targeting by blocking the visibility of assets such as vehicles and cargo. Unique requirements Peter Jackson, Managing Director of Jacksons Fencing, commented on the project’s success: "The acoustic barrier we installed is a reflection of our commitment to providing bespoke solutions that not only meet regulatory requirements but also enhance the operational performance of our clients." "Our team worked closely with the client to ensure the barrier met their unique requirements, from regulatory compliance to site-specific security needs. It’s a prime example of how tailored solutions can make a real impact on both operational efficiency and community relations."

ZeroEyes, the creators of the only AI-based gun detection video analytics platform that holds the full US Department of Homeland Security SAFETY Act Designation announced that its proactive gun detection and intelligent situational awareness solution is deployed at the University of New Haven. This integration marks the first time a Connecticut university has adopted ZeroEyes, enhancing the safety and security measures across the campus and surrounding areas. University of New Haven The University of New Haven, located on a suburban campus near New Haven, Connecticut, serves a community of over 10,000 students, faculty, and staff. Its comprehensive, multilayered safety and security strategy ensures protection 24/7/365 with features such as electronic card access gates, CCTV cameras, emergency phones, and the LiveSafe app, which facilitates real-time communication with the University Police Department that patrols the entire campus.  Threat identify, assess, and respond With the deployment of ZeroEyes, the campus's security infrastructure is even better equipped to identify With the deployment of ZeroEyes, the campus's security infrastructure is even better equipped to identify, assess, and respond to potential gun-related threats. “The security of our campus and the safety of our students, faculty, staff, and visitors are our paramount priority,” said Adam Brown, chief of the University of New Haven Police Department. AI-based gun-detection system “From our first conversations with ZeroEyes, it was clear they could help enrich the safety and security of our community by offering an AI-based gun-detection system that uses the most advanced technology – supported by a specially trained operations center – to identify and analyze the presence of a firearm." "Testing, implementing, and integrating ZeroEyes into our safety and security systems and protocols has been seamless. ZeroEyes’ expertise in this critical area of public safety provides an important tool that enhances the safety and security of our community.” Situational awareness software If a gun is identified, images are instantly shared with the ZOC which is staffed 24/7/365 ZeroEyes’ AI gun detection and intelligent situational awareness software layers onto existing digital security cameras. If a gun is identified, images are instantly shared with the ZeroEyes Operations Centre (ZOC), the industry’s only U.S.-based, fully in-house operation centre, which is staffed 24/7/365 by specially trained U.S. military and law enforcement veterans. If these experts determine that the threat is valid, they dispatch alerts and actionable intelligence including visual description, gun type, and last known location, to local law enforcement and university security as quickly as 3 to 5 seconds from detection. Campus safety “Our collaboration with the University of New Haven underscores their unwavering dedication to campus safety in Connecticut,” said Mike Lahiff, CEO, and co-founder of ZeroEyes. “By integrating our AI gun detection solution, the university is taking a significant step forward in safeguarding its students, faculty, and staff. We are honored to support their mission to create a secure educational environment.”

The hospitality industry drives economic growth and development by creating jobs, generating revenue, and initiating a ripple effect to improve profitability throughout the supply chain. The hospitality industry includes a vast number of small businesses, including hotels and restaurants. But what are the security challenges of these businesses, and how is the security marketplace serving those needs? We asked this week's Expert Panel Roundtable: How can technology address the security challenges of the hospitality market?

Retaining top talent is a route to bring innovative ideas and creative solutions to a company. Talent drives product development, improves processes, and helps businesses stay ahead of the competition. In essence, retaining top talent is essential for businesses to remain competitive, innovative, and successful. Unfortunately, staffing shortages are a reality for many corporate players in the security industry, as well as throughout the business community. We asked this week's Expert Panelists: How can physical security organisations attract and retain top talent?

Direct costs such as purchase price and maintenance are important elements in the total cost of ownership (TCO). However, there are others. Elements such as opportunity costs of lost revenue or hidden costs of energy consumption and environmental consequences can also impact the measure of TCO. Costs of training, integration, support, and scalability can also be examined. Considering the security industry impact of TCO, we asked this week's Expert Panel Roundtable: How does/should total cost of ownership (TCO) impact the decision-making process when choosing technologies for security?