Covert Surveillance

With the pixelation function ‘AI Pixelation’ in SeMSy® Compact Dallmeier presents an innovative solution for data protection compliant video surveillance. Depending on requirements, AI Pixelation enables automatic pixelation of objects such as persons or vehicles – both in live streams and in the display of recordings. ‘AI Pixelation’ is an innovative feature of the Dallmeier SeMSy® Compact video management software. In combination with an AI installed on the cameras, the so-called Deep AI object classification, various objects can be automatically pixelated. Data protection requirements Deep AI object classification is available on all Domera® 6000 series cameras Deep AI object classification is available on all Domera® 6000 series cameras and all current Picoline and Panomera® models. Deep AI object classification is based on pre-installed neural networks and enables precise real-time analysis of video data. On this basis, the system reliably recognises relevant objects, such as people, and can then pixelate them on the client side in the SeMSy® Compact video management software.  Pixelation can be activated for defined user groups, both in live streams and when viewing recordings. However, the data in the recording itself remains unpixelated, so that people with the appropriate authorisation can view the original data at any time. In this way, AI Pixelation ensures privacy protection and compliance with legal data protection requirements, including the GDPR.

Rhombus, a pioneer in cloud-managed physical security solutions, announces the launch of Rhombus Relay, a new suite of solutions that enable organisations to transform existing camera infrastructure into intelligent, cloud-connected devices that deliver immediate value. Rhombus Relay establishes a bridge between legacy systems and modern cloud-based physical security, allowing businesses to innovate at their own terms while protecting their existing investments. Cloud-managed physical security The physical security landscape has long been challenged by siloed systems, failing hardware, and complex migrations that often lock organisations into proprietary ecosystems. Rhombus Relay addresses these pain points with two flexible new options: Relay Core and Relay Lite. The physical security landscape has long been challenged by siloed systems “Adopting new technology for security should be effortless, without compromising safety,” said Garrett Larsson, CEO and co-founder of Rhombus. “That has been Rhombus’ guiding principle since we launched nearly a decade ago, and it is core to why we developed Relay. Our new solution instantly removes the barriers that force organisations to choose between their existing camera investments and modern cloud capabilities. Today’s launch represents a significant milestone in our mission to make the advantages of cloud-managed physical security accessible to all organisations, regardless of where they are in their security technology journey.” Wholesale security infrastructure replacement Rhombus Relay offers two innovative and practical paths for migrating existing cameras to Rhombus’ unified platform: Relay Core N100 is a plug-and-play, on-premise device supporting up to ten third-party cameras with no added licensing cost for video streaming. The solution transforms existing cameras into smart cameras with AI analytics, empowering organisations with the advantages of cloud-managed security without ripping and replacing their entire camera system. For larger deployments, Rhombus has also announced that Relay Core N500, supporting up to 50 cameras, will also be available soon. Complementing the Core offering, Relay Lite is a zero-cost alternative that allows organisations to connect—and begin cloud managing—one legacy third-party camera for every Rhombus camera they already operate. This first-of-its-kind approach to integrating existing cameras is ideal for organisations with mixed hardware environments who want to unify specialised third-party cameras with their Rhombus deployment. Unlike other solutions that require wholesale security infrastructure replacement, Relay Lite offers a frictionless entry point to begin the cloud migration journey. Open API capabilities Relay is part of Rhombus’ broader cloud-managed platform, which is developed for protecting organisations’ people, assets, and data while also offering full interoperability and flexibility. Key features of Rhombus’ platform include: Truly open platform Full interoperability with existing hardware and technology stacks Unified visibility through a single pane of glass for all physical security An extensible platform with 50+ integrations and open API capabilities Seamless deployment Easy scalability to grow alongside organisational needs Flexible deployment options to match specific business requirements Secure by default Enterprise-grade security with end-to-end encryption and SOC 2 compliance Zero-trust architecture that ensures legacy devices will not compromise security posture Physical security technology Relay Lite is available at no additional cost to existing Rhombus customers “Technology should just work,” said Brandon Salzberg, Vice President of Engineering at Rhombus. “With Relay, we’re simplifying legacy technology in a way that it never has before, while at the same time providing a flexible pathway for organisations to modernise their physical security technology stack at their own pace.” Rhombus Relay Core N100 and Relay Lite will be available in Early Access for select customers on April 8, 2025. Relay Core has an MSRP of $1,999 with no additional licensing costs for video streaming. Optional cloud licenses are available based on the level of AI analytics, including license plate recognition, facial recognition, colour search, and visitor counting. Relay Lite is available at no additional cost to existing Rhombus customers. The company also announced that Relay Core N500—an expanded version supporting up to 50 cameras—will also be available soon.

Milestone Systems, a provider of open platform video management software (VMS), announces the release of XProtect 2025 R1, featuring expanded cloud integration capabilities and advanced vehicle identification video analytics. This release demonstrates Milestone's commitment to platform accessibility and enhanced security features across its XProtect product line. The XProtect 2025 R1 release, available from March 18, 2025 at 12.00 CET, marks a significant expansion in platform accessibility, with the Arcules Plugin now supporting XProtect Professional+, Expert, and Corporate editions. This enhanced integration enables seamless video and alarm flow from the Arcules Video Surveillance as a Service (VSaaS/cloud solution) to XProtect across a broader range of deployments, opening new possibilities for system integrators and end users. Standalone device solution Previously available only for XProtect Corporate users, the Arcules Plugin has been redesigned as a standalone device solution, eliminating the requirement for interconnect licensing. This strategic enhancement allows organisations using XProtect Professional+, Expert, and Corporate to leverage Arcules' capabilities, significantly expanding market accessibility and integration options. The Arcules Plugin has been redesigned as a standalone device solution The XProtect License Plate Recognition (LPR) extension in XProtect 2025 R1 introduces comprehensive enhancements that elevate vehicle identification to new levels of sophistication. These updates enable more precise and efficient vehicle analytics, including: Vehicle Classification: Enables differential processing based on vehicle type, from motorcycles to buses Colour Recognition: Facilitates rapid vehicle identification for security and law enforcement Make/Model Detection: Enhances vehicle identification accuracy for investigative purposes Vehicle Angle Detection: Determines vehicle orientation relative to camera position Improving response times These advanced capabilities within the XProtect LPR extension accelerate vehicle identification processes, allowing security personnel and law enforcement to quickly locate and identify vehicles of interest. The system's enhanced capabilities support rapid filtering of video data based on specific vehicle characteristics, speeding up investigation processes and improving response times. Beyond security applications, enhanced vehicle analytics provide valuable insights for urban planning and traffic management. The system's ability to analyse various vehicle types and their movement patterns enables: Data-driven traffic flow optimisation Strategic congestion management Environmental impact assessment through traffic pattern analysis Informed infrastructure development planning This latest release continues Milestone's tradition of innovation in video management technology, providing partners and customers with advanced tools to enhance security operations and leverage video data for broader operational insights.

In today's rapidly evolving security landscape, facial recognition has become a buzzword that often triggers privacy and data protection concerns. However, many security professionals may not realise that "facial recognition" is an umbrella term encompassing various technologies, each with distinct applications and privacy implications. Let's dive into what these technologies really mean for security system resellers, integrators, and end-users.  Facial recognition tech At its core, facial recognition technology re-identifies or verifies individuals based on their facial features, which are used as biometrics. However, not all biometric systems are based on unique identifying features. Some analyse general characteristics like facial hair style or other distinctive marks. Such traits, known as soft biometrics, can aid in identification but aren't unique enough to verify someone's identity uniquely.  Personally identifiable information Modern systems incorporate robust safeguards, including data encryption and strict retention policies While facial recognition technology has applications ranging from access control to crime prevention to investigation, its implementation varies widely depending on specific needs. Modern systems incorporate robust safeguards, including data encryption and strict retention policies, to ensure the responsible handling of any personally identifiable information (PII).  Understanding key technologies and applications  Facial recognition encompasses several distinct technologies, each serving specific purposes. Here's a comprehensive breakdown of these technologies and their real-world applications.  Key technologies:  Face Verification (1:1): A one-to-one comparison where a person claims an identity (e.g., by showing an ID card), and the system verifies whether the face matches the provided identity. Example: In airports, face verification is used for automated passport control. When a traveler approaches a gate, their face is scanned and compared to the photo stored in the government database. If the face matches, the traveler is allowed through the gate without manual checks.   Face Identification (1 to many): A one-to-many comparison, where a face captured by a system is compared to a database of multiple faces and facial features to identify the person. This process is often used in security or surveillance contexts. Example: In the case of a missing child at an airport, a system could scan the faces of all passengers passing through checkpoints and compare them to a photo of the child in a database. If a match is found, it triggers an alert.  Face Re-identification (Many to Many): Many-to-many comparisons where multiple faces are compared to multiple other faces. This is typically used to track a person’s movement anonymously across different areas by matching their facial images at different checkpoints, without knowing their identity. Example: In a retail environment, facial re-identification might be used to track how long an anonymous person spends moving from one section of a store to another by re-identifying their face as they enter and leave different camera views. Facial recognition can be used both for real-time and offline applications.  Real-Time Facial Recognition: Real-time facial recognition refers to the immediate processing of a live video feed, comparing faces to a database to generate instant alerts when a match is found. Example: At large public events like sports stadiums, real-time facial recognition might be used to detect banned individuals (e.g., known hooligans) as they attempt to enter.  Post-Event (Recorded) Facial Recognition: This refers to analysing video recordings after the event has occurred, rather than in real-time. Facial recognition is applied to recorded data to identify or track individuals. Example: After a crime, investigators could use facial recognition software on recorded video from security cameras to identify suspects by matching their faces to known databases. These definitions cover various aspects of facial recognition technology, its different applications, and how biometrics are used for identification and tracking purposes.  Biometrics: Biometric technologies use a person’s distinguishing physical characteristics, such as their face, fingerprint, or iris, to identify them. Example: Fingerprint or face scanning for unlocking a phone or using iris recognition for secure entry at high-security buildings like data centers.  Hard Biometrics: Hard biometrics refer to physical characteristics that are sufficiently unique enough to be used for identifying a specific individual, such as a face, fingerprint, or iris. Example: Using iris recognition at airport security checkpoints to confirm the identity of a traveler.  Soft Biometrics: Soft biometrics (personal features) include general attributes like height or body shape, which are not unique enough to identify a person on their own but can help narrow down re-identification when combined with other information. Example: Using height and body shape to help identify a suspect in a camera scene when facial features alone are unreliable.  Appearance Similarity: This refers to distinguishing between people based on their appearance (e.g., clothing, accessories) rather than biometric features. It’s often used for accelerated investigation and statistical analysis rather than identification. Example: A retail store may track customers based on the clothes they are wearing to monitor how long they stay in the store, without tracking their faces or personal details.  Liveness Detection: A method used to determine whether the subject in front of a facial recognition system is a live human being and not a photo or a video recording. Example: In some mobile payment systems, facial recognition requires users to blink or move their head slightly to ensure they are a live person and not someone trying to use a photo for authentication.  Mathematical Representation: Non-reversible mathematical representations are lists of numbers based on a person's facial image or appearance based on clothing. These numbers represent characteristics but cannot be easily used to recreate the face. Example: When an organisation stores only the mathematical representations from a face rather than an actual image, even if the data is stolen, it is nearly impossible to recreate the person’s face or use the data with another system.  Privacy and security considerations  Modern facial recognition systems prioritise privacy through various protective measures, moving far beyond the basic security protocols of the past. Solutions integrate multiple layers of protection designed to safeguard personal data while maintaining system effectiveness.  These sophisticated privacy controls work in concert to ensure responsible data handling and comply with evolving security standards. Key protective measures include:  Biometric template isolation that keeps facial recognition templates separate from other personal data, with dedicated secure storage environments. Template encryption frameworks specifically designed for biometric data, using industry-standard protocols that protect facial features during both processing and storage. Biometric data anonymisation that converts facial features into non-reversible mathematical representations – into numbers - prevents the reconstruction of original face images.  Cascading deletion protocols automatically remove both raw facial data and derived biometric templates after their authorised use period. Segmented access controls that separate facial recognition administrative functions (like enrollment and template management) from regular system operation.  Privacy standards The key is selecting the right tool for each application and ensuring that personal data is collected The security industry continues to evolve, finding innovative ways to balance effective surveillance with privacy protection. By understanding this comprehensive range of technologies, security professionals can better serve their clients with solutions that address specific needs while maintaining appropriate privacy standards. The key is selecting the right tool for each application and ensuring that personal data is collected only when necessary and protected when it is not.  Statistical analysis and pattern recognition The variety of facial recognition applications demonstrates that not all systems require storing personal information. Many modern solutions focus on statistical analysis and pattern recognition rather than individual identification, offering powerful security benefits while respecting privacy concerns. This balance of capability and responsibility represents the future of video security technology. 

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 city managers, law enforcement agencies, and first responders face mounting pressure to combat crime and respond to emergencies with limited resources, real-time crime centres empowered by a new generation of data-driven technologies are emerging as an effective force multiplier.  Real-time crime centres Real-time crime centres (RTCCs) serve as centralised hubs where dedicated personnel leverage pioneering-edge technologies to analyse diverse data streams and provide critical support to law enforcement and emergency operations. These 24/7 facilities are transforming how agencies gather, process, and act upon information, enabling more proactive and efficient policing strategies.  The core functions of RTCCs  These centres provide officers with unprecedented situational awareness and real-time intelligence At their core, RTCCs are tasked with three primary objectives: enhancing safety, facilitating identification, and supporting apprehension. By integrating data from a wide range of data sources, these centres provide officers with unprecedented situational awareness and real-time intelligence.  Integrated data approach This integrated data approach allows RTCCs to alert officers to potential threats, quickly identify suspects, and guide responders during critical incidents. For instance, in the event of a robbery, RTCC operators can rapidly search camera and licence plate data to track suspect vehicles, significantly improving the chances of a swift arrest.  According to the Bureau of Justice Assistance at the U.S. Department of Justice, the mission of an RTCC is to centralise a broad range of current and evolving technologies, coordinate sworn and non-sworn human resources, and direct the attention to high-crime areas, active crimes in progress, high-profile or highly recidivistic offenders, and large-scale public events that may require law enforcement presence or response.  The technology powering RTCCs  The effectiveness of an RTCC hinges on its ability to seamlessly integrate a wide array of technologies: Open Platform Video Technology: At the heart of many crime centres is an open platform video management software (VMS) that serves as the central nervous system, unifying diverse data streams into a cohesive operational picture. By leveraging open APIs and SDKs, the VMS can incorporate a wide range of cameras, sensors, and analytics tools. This data-driven approach to video technology enables seamless alert distribution to both the RTCC and field officers via mobile applications.  IP Camera Networks: The eyes of an RTCC, these systems combine fixed, PTZ, multi-sensor, thermal, and other specialty cameras to provide continuous city monitoring. Strategically placed throughout urban areas, cameras offer comprehensive coverage of critical locations such as transportation hubs, commercial districts, and high-crime zones. This network forms the foundation for real-time monitoring and incident response.  Sensor Arrays: Beyond visual data, RTCCs employ various sensor technologies. Acoustic sensors can detect sounds such as gunshots, shouts for help, breaking glass, and other sounds instantly alerting officers and cueing nearby cameras. Environmental sensors monitor air quality for gasses, smoke, and other non-visible hazards.  Licence Plate Recognition (LPR): LPR systems act as a force multiplier, continuously scanning for vehicles of interest. By generating real-time alerts for stolen or wanted vehicles, these systems significantly enhance the ability to track suspects and recover stolen property, contributing to reduced auto theft rates.  Aerial Surveillance: Many RTCCs incorporate drone technology, providing on-demand aerial perspectives of developing situations. This capability is particularly valuable for monitoring large-scale events, assessing natural disasters, supporting operations in hard-to-reach areas, and serving as a powerful first response for crime scene situational awareness.  AI-Powered Analytics: At the heart of many RTCC operations are sophisticated AI algorithms that analyse video data in real-time. These systems can identify a range of suspicious activities, from unattended packages to unauthorised intrusions. By rapidly processing vast amounts of video data, they help operators focus on potential threats and anomalies.  Geospatial Mapping: To make sense of the influx of data, RTCCs rely on advanced mapping software. These tools visualise events, alerts, and data streams geographically, allowing operators to quickly identify patterns, clusters of activity, and relationships between incidents.  Database Integration: RTCCs maintain direct connections to various law enforcement databases, including local, state, and federal resources like the National Crime Information centre (NCIC). This integration allows for rapid background checks and threat assessments, providing crucial context for ongoing operations.  Cloud Infrastructure: The scalability and flexibility of cloud computing are revolutionising RTCC capabilities. Cloud and hybrid solutions offer secure, off-site storage and facilitate easy data sharing between agencies. This approach not only reduces initial costs but also allows for incremental upgrades, making advanced RTCC functionality accessible even to agencies with limited budgets.  Real-world impact  RTCC operators tracked shooting suspects via camera feeds, guiding officers to their location The proliferation of RTCCs across the United States with over 80 centres in operation speaks to their proven effectiveness. Cities that have implemented these high-tech command centres are reporting significant improvements in response times, clearance rates, and overall public safety.  Real-time surveillance In Winston-Salem, North Carolina, the local RTCC leverages over 1,300 live video feeds to provide real-time surveillance across the city. This extensive network, combined with gunshot detection technology and licence plate readers, has already demonstrated its value. In a recent incident, RTCC operators were able to track shooting suspects via camera feeds, guiding officers to their location for a quick apprehension.  Video analysis by RTCC Similarly, Newport News, Virginia, saw an immediate impact after launching its RTCC in 2021. The centre has played a crucial role in solving homicides caught on video and rapidly closing a series of carjacking cases.  These success stories underscore the game-changing potential of RTCCs when it comes to solving crimes and gathering evidence. In Memphis, Tennessee, video analysis by RTCC detectives helped identify a shooter in custody following an incident at a community basketball court even when no witnesses had come forward.  Identifying suspects with RTCC Officers and analysts can view street and body camera footage to monitor crowds at parades The Jackson Police Department in Mississippi has seen similar benefits since building an RTCC in 2019, part of a broader effort that included deploying 100 cameras and 271 body cams. Officers and analysts can view street and body camera footage to monitor crowds at parades and other events. During pursuits, the cameras provide extra surveillance, allowing officers to identify suspects or witnesses to help solve crimes.  Enhancing crime mitigation and emergency response  While RTCCs have proven their worth in responding to active incidents, their true potential lies in proactive crime prevention and enhanced emergency preparedness. By leveraging advanced analytics and integrated data sources, RTCCs are evolving into powerful predictive tools for law enforcement.  Pattern recognition algorithms For instance, pattern recognition algorithms can analyse historical crime data alongside real-time video feeds to identify potential hotspots for criminal activity. This allows law enforcement to strategically deploy resources, increasing visible presence in high-risk areas before crimes occur. Similarly, anomaly detection systems can alert RTCC operators to unusual behaviors or suspicious activities, enabling early intervention in potentially dangerous situations.  Asset and property protection, automated alerts RTCCs can monitor critical infrastructure, government buildings, and other high-value assets 24/7 Asset and property protection is another area where RTCCs excel. By integrating with access control systems and using AI-powered video analytics, RTCCs can monitor critical infrastructure, government buildings, and other high-value assets 24/7. Automated alerts for perimeter breaches, unauthorised access attempts, or suspicious objects left in restricted areas allow for an immediate response, significantly enhancing security postures.  Emergency response and preparedness In terms of emergency response and preparedness, RTCCs serve as vital command and coordination centres during crises. Whether facing natural disasters, major accidents, or other large-scale emergencies, RTCCs provide a centralised hub for information gathering and dissemination. Real-time video streams from affected areas, combined with data from environmental sensors and emergency service communications, allow for rapid situational assessment and coordinated response efforts.  Post-incident investigation and analysis RTCCs can also play an active role in post-incident investigation and analysis. The ability to quickly compile and analyse vast amounts of data from multiple sources can significantly accelerate case resolution and help identify patterns to prevent future incidents. As RTCCs continue to evolve, their capacity for integrating diverse data streams and leveraging advanced analytics positions them as indispensable tools in modern law enforcement strategy.   The future of technology-driven policing  The integration of artificial intelligence and machine learning promises to enhance video analytics As RTCCs continue to evolve, they are likely to incorporate even more advanced technologies. The integration of artificial intelligence and machine learning promises to enhance video analytics capabilities, enabling faster and more accurate threat detection. Additionally, the expanding use of drones, subject to FAA regulations, could provide RTCCs with cost-effective aerial surveillance options.  Effective and ethical operations However, the implementation of RTCCs is not without challenges. Agencies must navigate issues of privacy, data security, and community trust. Ongoing training for personnel and careful planning is essential to ensure these centres operate effectively and ethically.  Data-driven approach Despite these hurdles, the trend toward technology-driven policing shows no signs of slowing. RTCCs represent a shift from reactive to proactive law enforcement strategies, offering a data-driven approach to crime prevention and response. As these centres become more prevalent, they will play an increasingly vital role in helping agencies maximise their resources and make informed decisions, ultimately contributing to safer communities for all. 

Big news on the mergers and acquisitions (M&A) front is closing out 2024, a year in which several shifts changed the face of the physical security manufacturer community. Announced in December, German giant Bosch Group is selling its Building Technologies division’s product business for security and communications technology to the European investment firm Triton.  Bosch division selling to Triton  The transaction encompasses three business units – Video, Access and Intrusion, and Communication – and thus the entire product business of Bosch Building Technologies that was offered for sale. All 4,300 associates employed in these units at more than 90 locations worldwide will be taken over. The transaction reflects a growing confidence in the security market among private equity companies such as Triton, Becklar, and Volaris.   Sharing best practices Acre Security and Bosch will remain independent, standalone companies under Triton’s ownership Acre Security, previously acquired by Triton, has benefited from Triton’s strategic guidance and expertise, according to the company, which is confident Bosch will experience the same level of support and opportunity to thrive. Acre Security and Bosch will remain independent, standalone companies under Triton’s ownership, but will benefit from the potential to collaborate and share best practices as part of the broader Triton portfolio.  Resideo acquires Snap One  Earlier in 2024, there were other large M&A transactions. In the spring, Resideo Technologies, Inc., a manufacturer and distributor of technology-driven products and solutions, agreed to acquire Snap One Holdings Corp., a provider of smart-living products, services, and software to professional integrators. The transaction is valued at $1.4 billion, inclusive of net debt. Upon closing, Snap One becomes part of Resideo's ADI Global Distribution business.  Honeywell buys Carrier’s Access Solutions  In late 2023, Honeywell announced plans to enhance and strengthen its building automation capabilities with the acquisition of Carrier Global Corporation’s Global Access Solutions business for $4.95 billion, in an all-cash transaction.  The acquisition, which played out through 2024, includes both hardware and software solutions, adding three respected brands to Honeywell’s portfolio with a focus on life safety and digital access solutions. Acquired brands include LenelS2, commercial and enterprise access solutions; Onity electronic locks; and Supra cloud-based electronic real estate lock boxes. Hirsch reemerges as an iconic brand  The Identiv sale was originally announced in April, subject to regulatory approval Identiv announced plans to sell its physical security business and assets to Vitaprotech, the security solutions provider that also acquired British manufacturer, TDSI, in 2019. The Identiv sale was originally announced in April, subject to regulatory approval.  As a result of the sale, Hirsch, a global security technology pioneer advancing physical security, video intelligence, cybersecurity, and digital identification solutions, announces the relaunch of its iconic brand and strengthened focus on the industry’s most complete high-security, end-to-end platform.  Ease of use security solutions The move seeks to reposition Hirsch as the global pioneer in physical security, video intelligence, and identity solutions, protecting everything from small enterprises to critical national infrastructure. With a 43-year-strong foundation in the industry, Hirsch’s mission has always been empowering a secure, connected world, combining government-grade high security with ease of use. Milestone and Arcules unite  Effective July 1, 2024, global video technology company Milestone Systems announced its merger with the cloud-based video surveillance solutions provider, Arcules. Both companies are owned by Japanese multinational Canon Inc. Based in Irvine, Calif., Arcules was spun off from Milestone in 2017. The merger brings together Milestone and Arcules’ best-in-class capabilities within video management software (VMS), video analytics, and video surveillance as a service (VSaaS), providing a complete video technology offering.  More M&A stories in 2024  In other M&A moves in 2024, cloud-based workforce management software provider Synerion USA Inc. acquired cloud-based video surveillance and access control solutions platform Qumulex Inc. Also, the global pioneer in airspace awareness and security, Dedrone, became part of the public safety and technology company Axon. The acquisition unites two companies with a shared mission to improve public safety and national security by staying ahead of persistent and escalating threats, enabling faster, more effective responses and ultimately protecting more lives in more places.

With the year 2025 stretched out before us, there are many techniques one could use to predict what will happen in the new year. You might analyse historical data and analyse future trends. Or you could try statistical or economic modelling. Or you could develop multiple scenarios based on various assumptions to explore potential outcomes. Or you could just check your email. At this time of year, my email is full of industry folks looking to predict what the future holds in 2025. Ranging from artificial intelligence (AI) to privacy, the retail market to drones, here is a sampling of forecasts for 2025 provided by various players in the security market, courtesy of my email messages. What’s Ahead for AI? From Faisal Pandit, VP & GM, Global Security Products, Johnson Controls (JCI): “The future of security operations includes customisable, scalable solutions where users can control if, when, and how they use AI to improve efficiency depending on the size and function of their organisation.” Says Kevin Woodworth, Vice President, Global Product Management, Intrusion, JCI: “Next year will see a growing focus from product developers on designing systems that streamline setup and configuration through increased AI integration. This reflects a broader trend of leveraging AI to simplify use and enhance adaptability as solutions evolve, rather simply employing it because it’s popular.” From Peter Evans, CEO of Xtract One Technologies: “AI algorithms will significantly advance in distinguishing between harmless, everyday items and potential threats. With this, we will see false alerts become even more rare.” Says JP Castellanos, Director of Threat Intelligence, Binary Defense: “Machine learning (ML)-powered anomaly detection will move beyond proof-of-concept to become mission-critical, enabling teams to uncover unknown threats and behavioural anomalies in real time – well before they escalate.” Evans of Xtract: “As AI becomes more advanced in threat detection, it will lead to more sophisticated protection of individual privacy. We can expect to see more AI techniques utilised for threat identification that do not capture personal data and are privacy-first.” Predictions on interoperability and compliance Woodworth of JCI: “New products added to singular systems must be interoperable. In 2025, organisations will need to embrace interoperability. AI will progress past reactive measures to achieve predictive capabilities.” Pandit of JCI: “With organisations increasing their focus on the regulatory environment, there will be an uptick in specialised certification programs to meet these needs. New security roles will emerge that will be focused on tracking and applying relevant regulatory changes.” Expanding capabilities for video cameras Woodworth of JCI: “Beyond capturing images, cameras will be able to detect potential threats and also mitigate them instantly, issuing vocal warnings, controlling access, or escalating issues without human intervention.” Looking ahead to retail developments Hansel Oh, Director of Product Marketing at Brivo: “Centralized, cloud-based security platforms will enhance credential management and monitor logistical operations to enable retailers to battle cargo theft.” Stephen Burd, Vice President, Essence Security: “With an increase in police response times, sophisticated crime, and smash and grabs, 2025 will see a huge demand for security solutions that go beyond simply notifying the police and will look to actively intervene and prevent damage or loss from occurring.” The role of drones and training Mary-Lou Smulders, CMO, Dedrone by Axon: “Drones will transition from being viewed as supplementary tools to becoming essential components of public safety operations. As departments recognise their effectiveness in various scenarios, the perception of drones will shift, and they will be integrated into core operational frameworks alongside traditional assets like patrol cars while replacing helicopters as a cost-effective and versatile alternative.” Erik Hohengasser, Electrical Technical Lead at NFPA: “As the skilled trades evolve, there will be an increasing demand for specialised and technical training. Predictive analytics, virtual simulations and hands-on experiential learning will become especially valuable due to allowing employees to gain real-world expertise in safe and controlled environments.”

The information age is changing. Today, we are at the center of addressing one of the most critical issues in the digital age: the misinformation age. While most awareness of this problem has emerged in the consumer and political worlds, the issue cannot be ignored when it comes to the authenticity and protection of video and security data. Video surveillance data SWEAR is a company with the mission to ensure the integrity of video surveillance data by mapping video data and writing it into the blockchain, providing real-time, immutable proof of authenticity. Blockchain, which is the underlying technology that enables cryptocurrencies, is a decentralised digital ledger that securely stores records across a network of computers in a way that is transparent, immutable, and resistant to tampering. SWEAR solution The SWEAR solution is based on proactive, foundational protection that validates data at the source The SWEAR solution is based on proactive, foundational protection that validates data at the source before any opportunity for manipulation can occur. “Our technology is about proving what’s real and our goal is to ensure that security content and video surveillance data remain untampered with and reliable when needed,” says Jason Crawforth, Founder and CEO of SWEAR. Real-time authentication Security leaders need to ensure that the content they are relying on to make mission-critical decisions is authentic. Once verified, organisations can be sure that their investment in video can be trusted for critical use cases, including intelligence operations, legal investigations, and enterprise-scale security strategies. SWEAR seeks to embed trust and authenticity directly into video surveillance content at the point of creation. This ensures real-time authentication while proactively preventing tampering or manipulation before it can happen.  AI-generated content The rise of AI-generated content, such as deepfakes, introduces significant challenges As AI transforms the landscape of video surveillance by enhancing threat detection and predictive analysis, it also introduces the very real risk of manipulation through AI-generated content. This presents a significant challenge in protecting critical security data, especially in mission-critical applications. The rise of AI-generated content, such as deepfakes, introduces significant challenges when it comes to ensuring the protection of digital media like video surveillance.  Recent study findings It is a fact that digital media content is being questioned more regularly, which puts businesses, legal systems, and public trust at risk.  A recent study from the Pew Research Center found that 63 percent of Americans believe altered videos and images create significant confusion about the facts of current issues. Last month, California Governor Gavin Newsom signed three bills aimed at curbing the use of AI to create fake images or videos in political ads ahead of the 2024 election.  Footage authenticity “While most of the news cycle has centered on the use of fake content in politics, we need to think about how manipulated videos could affect security,” says Crawforth. “In video surveillance, ensuring the authenticity of footage is critical for keeping operations secure and safe around the world. That means verifying and protecting video data is a must.”  Organisations must be capable of performing thorough digital investigations, which involve retrieving and analysing video and security data from devices and networks through a chain of evidence. Digital forensic capabilities Strong digital forensic capabilities also enhance incident response, risk management, and proactive security An in-depth understanding of who has handled video data, how it was handled, and where it has been is an important step in responding to security incidents, safeguarding assets, and protecting critical infrastructure. Strong digital forensic capabilities also enhance incident response, risk management, and proactive security measures, all essential for risk management, regulatory compliance, and cost control, says Crawforth.  An unbroken chain of custody “By using tools to identify, preserve, and analyse digital evidence, organisations can ensure swift and accurate responses to security incidents,” he adds. “Using the latest tools and techniques is vital for maintaining a strong security posture." "But you must ensure your digital content isn’t manipulated.” SWEAR’s technology provides an unbroken chain of custody, ensuring that video evidence can be trusted and admissible in court and forensic applications.  Authenticating content Authenticating content also strengthens accountability and trust, protecting organisations By verifying video content is protected from tampering, manipulation, or forgery, organisations can be sure that they have reliable evidence that produces actionable results. Authenticating content also strengthens accountability and trust, protecting organisations from legal disputes or compliance violations.  Safeguarding digital content “With an increasing amount of disinformation in today’s world, we sought to develop an innovative solution to safeguard the integrity of digital content,” says Crawforth. SWEAR safeguards security content using real-time “digital DNA” encoding. It integrates directly at the video management system level, ensuring it is preserved with a secure chain of custody and maintains integrity for evidentiary purposes.  Real-time “digital DNA” encoding The digital DNA is then stored on a blockchain, creating an immutable record The solution integrates with cameras and other recording devices to map this digital DNA of the video data, all in real-time. The digital DNA is then stored on a blockchain, creating an immutable record that tracks the content’s history and integrity. Any attempt to manipulate the media can be instantly detected by comparing the current state of the media to its original, authenticated version. SWEAR is actively collaborating with video management solution providers to integrate the technology into their platforms. Video and security data benefits “We’re still in the early stages of our collaboration in this space, but it is clear that the industry recognises that we have to work together to mitigate this risk proactively before it becomes a significant issue,” says Crawforth. “The feedback we have received from the industry to date has been beyond our expectations, and we expect to have more integration partners to highlight shortly.”  “We should approach this as a collaborative effort across the industry, as ensuring the authenticity of video and security data benefits everyone involved,” says Crawforth. 

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, announces that its proactive gun detection and intelligent situational awareness solution has been deployed by Berrien Springs Public Schools (BSPS) in Michigan to mitigate gun-related violence. The company and district are also partnering to present ‘Lunch & Learn: Protecting Schools from Active Shooter Events,’ an in-depth safety and security seminar, ZeroEyes demo for surrounding schools, and Q&A to take place May 12th at 11:30 am in the STEM Central Building. Safe learning environment Located in the southwestern corner of the state, BSPS’ main campus sits in the heart of Berrien County and includes six schools: Mars Elementary, Sylvester Elementary, Berrien Springs Middle School, Berrien Springs High School, Virtual Academy, and Discovery Academy. Additionally, beyond its main campus, the district supports 28 additional learning centers statewide through an alternative learning program that helps students earn their high school diploma under the Michigan Merit Curriculum guidelines. The district has implemented ZeroEyes to further strengthen its multilayered security approach Serving approximately 7,000 students and employing 600 staff members in total, BSPS prioritises safety across all its campuses. Each school features secure vestibules and locked entry points, while the main campus is staffed with a dedicated school resource officer (SRO). The district has implemented ZeroEyes to further strengthen its multilayered security approach and ensure a safe learning environment for students and staff statewide. Engaging educational environment “At Berrien Springs Public Schools, student and staff safety are a priority as we continuously improve attendance, achievement, and engagement,” said Superintendent Dr. Thomas Bruce. “Implementing ZeroEyes allows us to take a proactive approach to security, ensuring that students and staff can focus on teaching and learning without distraction. This technology aligns with our commitment to creating an outstanding safe and engaging educational environment.” If these experts determine that the threat is valid, they dispatch alerts and actionable intelligence ZeroEyes' AI gun detection and intelligent situational awareness software layers onto BSPS’ existing digital security cameras. If a gun is identified, images are instantly shared with the ZeroEyes Operations Center (ZOC), the industry's only U.S.-based, fully in-house operation center, 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 local staff as quickly as 3 to 5 seconds from detection. Secure learning environment According to the incidents analysed by the ZeroEyes Gun Violence Research Center, Michigan has seen more gun-related incidents than the national average in the past 365 days. “We are extremely proud to work with Berrien Springs Public Schools to further protect students and teachers throughout the state of Michigan,” said Mike Lahiff, CEO and co-founder of ZeroEyes. “The district’s dedication to student success is showcased by its unwavering commitment to safety. I applaud their decision to implement proactive measures to create a secure learning environment.”

Battery Energy Storage Systems (BESS) are essential for storing renewable energy and ensuring grid stability. However, their implementation comes with inherent risks, particularly related to lithium-ion battery fires. BESS fires can start from thermal runaway, where one cell failure can trigger a cascade of overheating, leading to fires that are difficult to extinguish and can last for hours or even days. Should a fire breakout, hazardous gases would release from the batteries, posing health risks to nearby communities and causing environmental damage through soil and water contamination. Traditional detection methods BESS fires have the potential for huge disruptions to locals via property damage and even evacuations In severe cases, BESS fires have the potential for huge disruptions to locals through property damage and even evacuations. Traditional detection methods such as flame detectors often fail in the early stages of a BESS fire due to their reliance on visible flames or smoke, which might not be immediately present. Where flame detectors fall short, thermal imaging cameras can significantly improve protection and prevent fires before they ever reach combustion. Advantages of thermal cameras for BESS Thermal cameras detect the heat signature from the onset of thermal runaway long before visible flames or smoke appear, allowing for preemptive action to mitigate risks. While flame detectors react to events that have already happened, a fixed thermal camera such as the FLIR A700F Advance Smart Sensor provides 24/7 surveillance by continuously monitoring for temperature anomalies that could indicate an impending fire, thus enabling early intervention. FLIR cameras are designed for easy integration into broader safety and control systems, allowing for automated responses such as activating suppression systems that enhance response times and efficiency. Comparison with other detection methods FLIR thermal imaging cameras can detect heat in low light and see the start of embers as they heat up While flame detectors are designed to detect visible fire, they may miss smouldering or hidden fires—meaning an alert may not be tripped until the fire has escalated to a dangerous level. FLIR thermal imaging cameras can detect heat in low light and see the beginnings of embers as they heat up surrounding materials, even when there's no visible sign of fire.  This early detection can prevent escalation or at least minimise damage by providing critical time for action before fires get out of control. Another advantage of thermal cameras is their ability to monitor large areas or multiple battery racks simultaneously, providing comprehensive coverage which is often challenging for point-specific flame detectors. Conclusion Incorporating FLIR thermal monitoring into BESS installations not only addresses the critical safety concerns associated with battery fires but also offers a proactive, reliable, and technologically advanced solution. By choosing a FLIR fixed thermal solution, they ensure that the energy storage systems are safeguarded with the industry's pioneering thermal imaging technology, protecting both the investment and the community from the devastating effects of BESS fires.

An integrated video surveillance and intercom solution from IDIS is boosting profitability and supporting expansion for Anytime Fitness health clubs in Belgium and the Netherlands.  Part of a global franchise of more than 5,200 gyms, all 130 Anytime Fitness clubs in the Benelux region now benefit from IDIS video surveillance which allows efficient and flexible remote management of the gym facilities on phones and tablets, via the IDIS Mobile Plus app. IDIS Video Intercom (DC-I6216WRX) New location in Dongen on-duty staff including physiotherapists and tutors can use the IDIS system In addition, the latest system – installed by IDIS integration partner SPIE Fire Protection & Security -  also now include integration with award-winning the IDIS Video Intercom (DC-I6216WRX), making it easy to provide smooth but secure access for club members, 24/7. A key attraction of the Anytime Fitness brand is that members enjoy a consistent, high-quality experience wherever they are worldwide, with any club accessible with just one key. Now, for enhanced user convenience and security, at the new location in Dongen on-duty staff including physiotherapists and instructors can use the IDIS system to see who is at the door without having to interrupt what they are doing, preventing tailgating and ensuring a warm welcome for members. IDIS end-to-end approach Crystal clear images from the intercom can be viewed on staff phones or tablets and the door opened remotely with a simple tap on the screen. In the event of any incident or query, images can be easily retrieved along with the ID of any members who were using the premises at the time.  The IDIS end-to-end approach which has proved so successful at Anytime Fitness - with a combination of IDIS 2MP dome and bullet cameras, NVRs, VMS software, intercoms units, and system accessories, all instantly compatible - reduces cabling and installation time and ensures efficient system use. Quality of the video footage Crystal clear images from the intercom can be viewed on staff phones or tablets Lars Bijleveld, Anytime Fitness franchise owner in Dongen and Made, praised the quality of the video footage captured by the IDIS system, including the video intercoms: “The added value of the Video Intercom quickly becomes apparent,” Mr. Bijleveld said. “When someone rings the doorbell, you can quickly see on your phone or tablet who is there, communicate and open the door if necessary. The physiotherapist also no longer has to leave his treatment room. And if a prospective member is at the door during unmanned hours, I can immediately schedule an appointment.” Integrated video solution “We are delighted that IDIS video technology is contributing to the profitability and success of Anytime Fitness in the Netherlands,” said Carlo Kuijer, CEO, IDIS Nederland. “Working with our partners SPIE Fire Protection & Security, we have created a seamless integrated video solution that combines outstanding  performance, ease of use, and low total cost of ownership (TCO).”

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?

When it comes to preventing theft and ensuring overall safety, technology offers a robust toolkit for retail stores to enhance security in several ways. From intelligent surveillance systems to RFID tags used to avoid shoplifting, today’s retail and loss prevention strategies are more effective than ever. Beyond security, the newer technologies can also provide benefits related to merchandising, inventory control, customer service, and the list goes on. The combination of abundant data and artificial intelligence (AI) is a powerful one-two punch that is on the verge of reshaping the retail industry. We asked this week's Expert Panel Roundtable: How are new technologies transforming the retail and loss prevention markets?  

Video surveillance has been a dominant factor in the casino market since the 1950s when video replaced the use of elevated walkways that allowed casino security personnel to monitor the gaming floor from above. As technology continues to evolve, we can expect to see more innovative uses of video in the casino market. Beyond video, other technologies are also transforming the casino experience. We asked this week’s Expert Panel Roundtable: How are new technologies impacting the casino surveillance and security market?