Video analytics

VIVOTEK, a global security solution provider, continues to deepen its commitment to sustainability and has been recognized with two distinctions at the 18th Taiwan Corporate Sustainability Awards: the Silver Award for Sustainability Report for the Information, Communication, and Broadcasting Industry and the Taiwan Corporate Sustainability Excellence Award. Facing the challenges of net-zero and climate change, VIVOTEK continues to strengthen its ESG actions by gradually completing its global carbon inventory, actively planning and setting carbon reduction targets, steadily increasing its use of renewable electricity in line with group policies, and advancing scope 3 emissions management. Supportive workplace culture At the same time, through its “Safety Map” sustainability event, the company is extending the influence of security from communities to natural environments, safeguarding biodiversity while integrating strong governance mechanisms and a supportive workplace culture, striving to be the most trusted security brand worldwide. “VIVOTEK has published its sustainability report for eight consecutive years, systematically disclosing our achievements in ESG. We use ‘Concern for Others’ Cares’ as a catalyst for the brand, addressing both employee well-being and social needs. In 2025, our efforts were recognized as we advanced from Bronze to Silver, which encourages us to keep progressing. We’ll continue leveraging AI and cloud innovation to enhance our solutions, and we aim to connect communities with nature to ensure security protects both people and the environment,” said Allen Hsieh, VIVOTEK’s Spokesperson and Director of the CorpComm & Sustainability Office.” Greenhouse gas emissions Upholding its commitment to environmental sustainability, VIVOTEK has achieved real progress in carbon reduction. In 2024, its greenhouse gas emissions decreased by 13% compared to the base year, and the company is targeting a 30% reduction by 2030. The share of renewable electricity continues to increase, surpassing 50% in 2025. VIVOTEK is also adhering to Delta Group's RE100 commitment and aims to achieve 100% renewable energy usage by 2030. Promoting social engagement VIVOTEK is committed to building a safer society and actively promoting social engagement, strengthening the safety of cities and communities through AI and cloud solutions while expanding the influence of its security expertise. In late 2024, the company visited Dachen New Village in Hualien to support environmental safety improvements and cultural preservation. In 2025, the company advanced its efforts to Nantou’s Zhonggua River, extending the protection of communities beyond people and public spaces to include the natural environment and the preservation of biodiversity. Strengthening risk and sustainability governance VIVOTEK places great importance on sound corporate governance and continues to enhance its governance mechanisms to support long-term development. In 2024, the company established a Risk Management Committee, led by the President, to oversee strategic, operational, and financial risks, achieving a Level 2 result in Taiwan’s Corporate Governance Evaluation. In 2025, the company also established a Sustainability Development Committee to oversee and integrate corporate governance, environmental sustainability, and social engagement reporting. VIVOTEK’s two honors at the Taiwan Corporate Sustainability Awards reflect strong recognition of its sustainability efforts and serve as motivation for ongoing improvement. Moving forward, the company will work with customers, partners, and employees to promote a safer and more resilient sustainable future.

Milestone Systems will use the GEFION supercomputer to accelerate the development of sovereign, responsible, and high-performance AI within Europe. The work will focus on the deployment and fine-tuning of the world’s most advanced AI Vision Language Model (VLM) for traffic and smart city applications, developed by Milestone in collaboration with NVIDIA.  Today, millions of video cameras capture valuable footage that could improve everyday life. Yet much of this potential remains untapped due to the time-consuming task of reviewing and analysing countless hours of video to uncover meaningful insights. Cutting-edge VLM Milestone has developed a cutting-edge VLM using NVIDIA Cosmos Reason, designed to deliver advanced video intelligence by automatically converting video footage into detailed written reports, summaries, and real-time alerts. Milestone’s VLMs can be used to build video analytics AI agents and applications across a variety of use cases such as traffic management across cities, ports, airports, and other urban areas. The VLM will now also run on DCAI’s EU-based Gefion cloud, ensuring full compliance with European data sovereignty and regulatory frameworks, including the AI Act and GDPR. Major milestone This collaboration marks a major milestone in Europe’s journey toward digital independence and will play a pivotal role in the EU AI Factory strategy. By integrating Milestones compliant “Hafnia Data Library” and the enhanced VLM within Gefion’s sovereign compute ecosystem, Milestone and DCAI are creating a foundation for European developers, municipalities, and governments to build responsible and transparent AI solutions at scale. Dr. Nadia Carlsten, CEO of DCAI, said: “Our mission at DCAI is to provide the best AI infrastructure that does not compromise on data sovereignty, and we are proud to see companies building on top of that foundation to advance responsible AI initiatives. Our work with Milestone and NVIDIA helps position Europe at the forefront of responsible AI innovation, setting new benchmarks for sovereign AI infrastructure.” Europe’s AI future Thomas Jensen, CEO of Milestone Systems, added: “This collaboration is a powerful step toward ensuring that Europe’s AI future is built on trust, transparency, and technological sovereignty.” “By combining Hafnia’s vast, ethically sourced data library and VLM capabilities with DCAI’s secure cloud and NVIDIA’s AI leadership, we’re creating a uniquely European AI ecosystem that supports municipalities, governments, and researchers in building compliant, high-impact AI solutions.” Milestone Vision Language Model Andrew Burnett, Interim CTO of Milestone Systems, commented: “The fine-tuned Milestone Vision Language Model represents a leap forward in video understanding and contextual AI for smart cities and traffic management. Running it on Gefion’s EU-based cloud ensures that data, training, and deployment all remain under European control, a vital step in supporting the EU’s vision for ethical, secure, and sovereign AI.” Milestone will run its Hafnia Vision Language Model (VLM) for traffic and smart city on DCAI’s Gefion AI infrastructure, establishing a secure environment optimised for advanced AI model deployment tailored to European smart city and traffic use cases.  This will provide a scalable platform for European AI developers, municipalities, and governments to access compliant AI services and computational resources, thereby reinforcing alignment with the EU AI Factory initiative and furthering Europe’s leadership in responsible AI innovation.

Synectics, a pioneer in advanced security and surveillance solutions, will demonstrate how its technology is helping organisations across transport, energy, critical infrastructure, leisure and hospitality, and smart city initiatives to enhance safety, efficiency, and cyber resilience. Synectics will exhibit at stand S1-I25 at the Dubai World Trade Centre from 12–14 January 2026.  Award-winning AI innovation Artificial Intelligence will be central to Synectics’ presence, with its award-winning Synergy DETECT on show. Synergy DETECT enables operators to activate up to twelve AI tools. Capabilities span safety, security, and operational analytics – from PPE and fall detection to crowd, intrusion, and loitering analysis. For public spaces and transportation environments, traffic analytics, including vehicle classification, wrong-direction detection, and counting, provide real-time intelligence to enhance both safety and operational oversight. New ‘in-camera’ intelligence Visitors to Intersec will be able to explore significant enhancements across Synectics’ COEX and IP camera portfolios, designed to elevate risk detection and situational awareness. These include advanced edge-based analytics and integrated IR illumination within the latest COEX camera models, alongside new 4K and multi-sensor additions to the Synectics IP camera range. Together, these innovations enable operators to capture more actionable details with fewer devices, supporting smarter and more effective surveillance. New features for fast incident response Synectics will be demonstrating the latest Synergy capabilities, designed to accelerate incident location, strengthen two-way collaboration, and support faster, more coordinated response aligned with established standard operating procedures. The team will also unveil enhanced mapping capabilities within Synergy, enabling operators to visualise incident patterns with heat maps and hot-spot analysis. By correlating events with precise geographic coordinates, control rooms gain a clearer view of how risks develop over time, helping anticipate emerging issues sooner and respond with greater accuracy. Intelligent surveillance David Aindow, Chief Strategy Officer at Synectics, commented: “Intersec is the ideal stage to demonstrate how far intelligent surveillance has come – and how accessible it is. Organisations today don’t just need more data; they need the right insights at the right moment.” “Every enhancement we’re showcasing this year is about enabling faster decisions, stronger coordination, and safer outcomes across every sector we support.” “From powerful, in-camera analytics to advanced mapping and AI-driven detection, this is our most extensive line-up yet. It reflects the real-world challenges our customers face and our commitment to helping them anticipate, understand, and respond with confidence in an increasingly complex world.”  

Hanwha Vision, the global vision solution provider, has opened its cutting-edge Experience Centre in Paris, reinforcing its commitment to the French market and accelerating its expansion in this key market.  The Paris Experience Centre provides a dedicated space for customers and partners to engage directly with Hanwha Vision’s next-generation AI surveillance technologies. Visitors can experience firsthand how the company’s latest solutions – including AI-powered cameras and intelligent video analytics – deliver actionable insights and improve operational efficiency. Growing demand for advanced video surveillance The opening of the centre reflects the growing demand for advanced video surveillance and analytics in France, across sectors including city surveillance, retail and transportation. By offering an immersive environment to explore these technologies, Hanwha Vision aims to deepen collaboration with French customers and demonstrate the real-world value of its AI-driven solutions. Jamel Djebari, Vice President for France at Hanwha Vision Europe, said: “The new Experience Centre demonstrates our strong commitment to the French market.” “It gives us the opportunity to engage even more closely with our customers and partners, helping them understand how Hanwha Vision’s AI solutions can address today’s security challenges while also unlocking wider business intelligence. We are proud to bring this to Paris and look forward to welcoming our community.” Key growth market Jeff (Chae Won) Lee, Managing Director, Hanwha Vision Europe, said: “France is a key growth market for Hanwha Vision in Europe, and the opening of our Paris Experience Centre marks an important milestone in our regional strategy. It provides a hub where customers can not only see our latest AI solutions in action but also explore how these innovations can support their specific security and business needs.” With this investment, Hanwha Vision continues its mission to deliver innovative, reliable, and trusted vision solutions across Europe, positioning itself as a long-term partner for organisations embracing AI-powered security. 

Currently, in security surveillance, the application of intelligent analysis technology has two approaches: front-end intelligence and back-end intelligence. Front-end intelligence Front-end intelligence is typically implemented within the video surveillance camera itself, integrating AI edge algorithms into the camera. Its advantages include: acquiring video in real-time and performing video analysis and feedback results immediately. Benefits No consumption of network resources like bandwidth; Offers real-time and highly efficient analysis; Obtains results immediately; relatively low cost; Highly flexible deployment. Disadvantages Due to the small physical size of cameras, hardware expansion space is limited. AI edge algorithms are often confined to a fixed few types, such as perimeter intrusion detection, tripwire, abandoned object detection, etc. It cannot flexibly load customised intelligent functions. The other approach is back-end intelligence, which usually requires installing an intelligent analysis server in the monitoring centre, integrating AI edge algorithms into this back-end server.  Advantages: Hardware components can be flexibly expanded based on project requirements, thereby enhancing the server's overall analytical capability. It can also flexibly customise and load various intelligent algorithms according to project needs, capable of loading dozens or even hundreds of algorithms.  Disadvantages: Because back-end intelligence requires first collecting the video stream from the front-end cameras in real-time before analysis, it consumes significant resources like bandwidth. It cannot provide immediate feedback of intelligent analysis results like front-end intelligence, lacks flexible deployment options, and the cost is very high. Development of intelligent analysis technology AI edge analytics boxes have emerged in the security surveillance market, defining another front-end With the development of intelligent analysis technology, AI edge analytics boxes have emerged in the security surveillance market, representing another front-end intelligence product. These boxes themselves can integrate dozens of AI edge algorithms, enriching the variety of AI algorithms available for front-end intelligent cameras while maintaining flexible deployment.  Users can freely choose to deploy the box at the front-end (near the camera) or at the monitoring centre end to function as a small intelligent analysis server. Front-end (camera side) When deployed at the front-end (camera side): There is no need to dismantle existing video surveillance equipment. The real-time video stream from the original camera can be analysed directly within the AI box, and results are fed back. Since the camera and AI box are usually on the same network, this consumes minimal bandwidth resources, offering excellent real-time performance, timeliness, and efficiency. After the AI edge analytics box analyses the video, the results can be transmitted to the monitoring centre video management platform server via the internet, VPN dedicated line, 4G, 5G, etc., for storage, real-time display, and retrieval. Monitoring centre end When deployed at the monitoring centre end: The AI edge analytics box can function as a small video analysis server. Individual AI analytics boxes can be stacked to aggregate their analytical power, enabling the analysis of large volumes of video streams transmitted from the front-end. Since the cost of the AI edge analytics box itself is significantly lower than that of a full intelligent analysis server, using AI analytics boxes to implement intelligent solutions is often more economical and practical for small to medium-sized intelligent security surveillance projects. AI box application. AI box deployment application Edge AI Box does not require changes to existing video surveillance kit deployments Since the Edge AI Box does not require changes to existing video surveillance equipment deployments and only upgrades the original system to enable intelligent applications for existing monitoring devices, it can save significant labour costs associated with on-site deployment personnel. After the Edge AI Box and AI-powered cameras transmit intelligent analysis results to the platform, what can the platform do? Taking the video surveillance management platform SVMS Pro as an example. SVMS Pro video surveillance management software First SVMS Pro provides centralised management for multiple AI Boxes across diverse networks (LAN, WAN, VPN, 4G/5G). This flexibility enables users to deploy AI Boxes anywhere project requirements demand. With the AI Box and cameras connected to the SVMS Pro video surveillance management software, users can select video channels for analysis. The AI Box automatically analyses the chosen channels, transmits the results, and triggers alarms back to SVMS Pro. This seamless integration provides a unified platform for users to: Configure event settings Define alarm-triggering actions (such as alarm recording and alarm video pop-up). Alerts originating from the AI Box can trigger video recording via the SVMS Pro platform. These recordings are then stored long-term within the SVMS Pro platform. This capability resolves the limitation of the AI Box itself, which cannot store recordings for extended periods due to constraints imposed by its physical size. Search historical alarm events Manage active alarms View alarm statistics Additionally, SVMS Pro facilitates pushing the analysed results to third-party platforms via the network. SVMS Pro provide various AI intelligent solutions for different scenarios. AI intelligent solutions for different scenarios AI box + video surveillance management software SVMS Pro provides various AI intelligent solutions for different scenarios. For example: In smart construction site applications, AI box can provide not wearing safety helmet and reflective vest detection, fight detection, area intrusion detection, wandering detection, fire detection, etc., and display real-time results in real-time on SVMS Pro. Users can watch real-time video from different places, store the recordings, playback, get the real-time AI alarms, put the video on the video wall, etc., all in one platform. SVMS Pro and AI Edge Boxes Combined force of SVMS Pro and AI Edge Boxes presents a truly unified and intelligent solution In essence, the combined force of SVMS Pro and AI Edge Boxes presents a truly unified and intelligent solution, effectively overcoming the inherent limitations of both traditional front-end and back-end surveillance intelligence. The AI Edge Boxes deliver powerful, real-time analytics at the edge or as scalable micro-servers, offering unprecedented flexibility and cost-effectiveness – particularly vital for small to medium-sized projects.  SVMS Pro elevates this capability by providing centralised command and control, seamlessly integrating diverse AI Boxes across any network to offer comprehensive video management. Advanced AI surveillance This synergy enables robust features like intelligent event configuration, alarm-triggered recording with long-term SVMS Pro storage, historical event search, and cross-platform integration, all within a single, cost-optimised platform.  From construction sites to broader security networks, this unified solution transforms raw video into actionable intelligence, democratising advanced AI surveillance by making it accessible, practical, and economically viable. SVMS Pro and AI Edge Boxes together redefine intelligent video management for the modern era.

The physical security industry has been in love with the cloud for quite some time. And understandably so. The promise of instant scalability, centralised access, and simplified maintenance is hard to ignore, especially in an era of remote work and distributed facilities. But reality is catching up to the hype. For many, especially those dealing with video surveillance at scale, the cloud is no longer the catch-all solution it once seemed. Rising costs, bandwidth limitations, and latency issues are exposing its shortcomings. And the more resolution increases, from HD to 4K and beyond, the heavier that burden becomes. Modern security cameras This is where edge computing, specifically AI-enabled edge processing available in modern security cameras, starts to look less like an option and more like a necessity. But it’s not just about adding intelligence to cameras. It’s about how that intelligence is deployed, scaled, and maintained. This leads us to containerisation and tools such as Docker, which are a revolutionary piece of the puzzle. When cloud isn't enough Cloud analytics for video sounds great in theory: stream everything to the cloud Let’s start with a basic issue. Cloud analytics for video sounds great in theory: stream everything to the cloud, let powerful servers do the thinking, then serve up results to end-users in real time. However, in practice, this model can break down quickly for many end-users. Raw video is heavy. A single 4K camera streaming 24/7 can generate terabytes of data per month. Multiply that by hundreds or thousands of cameras, and the bandwidth and storage costs become unsustainable. Then there’s latency. If AI needs to detect a person entering a restricted area or identify a licence plate in motion, seconds count. Routing video to a cloud server for analysis and waiting for a response can introduce delays. Adding in concerns about uptime, such as what happens if the internet connection goes down, it becomes clear why relying exclusively on the cloud creates friction for mission-critical deployments. The edge advantage Edge processing turns that model on its head. Instead of sending everything out for analysis, edge-enabled cameras do the heavy lifting on-site. AI algorithms run directly on the device, interpreting what they see in real time. They generate metadata—lightweight descriptions of events, objects, or behaviors—rather than raw video. This metadata can be used to trigger alerts, inform decisions, or guide further review. The benefits are obvious: latency drops, bandwidth use plummets, and storage becomes more efficient. Edge processing solves many cloud deployment issues by keeping the compute where the data is generated, on the device. This frees the cloud up to do what it’s best at: providing scalable and centralised access to important footage. But where does the edge go from here? How do we evolve these powerful IoT devices to deliver even more situational awareness? Enter Docker: An app store for Edge AI They package an app along with everything it needs to run: the code, settings, libraries, and tools This is where the concept of containerisation and open development platforms like Docker comes in. Let’s start with an analogy that is helpful for understanding containers. Imagine you're getting ready for a trip. Rather than hoping your hotel has everything you need, you pack a suitcase with all your essentials: clothes, toiletries, chargers, maybe even snacks.  When you arrive at your destination, you open the suitcase and you’re ready to go. You don’t need to borrow anything or adjust to whatever the hotel has, since you’ve brought your own reliable setup. Containers in software work the same way. They package an app along with everything it needs to run: the code, settings, libraries, and tools. This means the application behaves exactly the same, whether it’s running on a developer’s laptop, on the edge in an IoT device, or in the cloud. Security camera with a powerful edge processor There’s no last-minute scrambling to make it compatible with the environment it lands in, because it’s self-contained, portable, and consistent. Just like a well-packed suitcase simplifies travel, containers simplify software deployment. They make applications faster to start, easier to manage, and more predictable, no matter where they’re used.  For a security camera with a powerful edge processor, it’s like giving the camera its own specialised toolkit that can be swapped out or upgraded without touching the rest of the system. It also means you can run multiple AI applications on a single camera, each in its own isolated environment. Integrators and end-users These applications don’t interfere with each other and can be updated independently Want to add fall detection to a healthcare facility’s camera network? Just deploy the analytics in a container. Need to monitor loading docks for pallet counts at a warehouse? Spin up a different container. These applications don’t interfere with each other and can be updated independently.  As a developer, if you use an open container platform like Docker, any system that supports Docker can utilise your software. This removes the need to do expensive custom work for each partner and ecosystem. This is one reason Docker containers are tried and true in the larger IT space and are just starting to get traction in the security sector. Docker also makes this scalable. Developers can build AI tools once and push them out to hundreds or thousands of devices. Integrators and end-users can customise deployments without being locked into proprietary ecosystems. And because containers isolate applications from core system functions, security risks are minimised. Metadata, not megabytes Traditional video analytics systems often require full video streams to be processed One of the most underappreciated aspects of this method is the way it redefines data flow. Traditional video analytics systems often require full video streams to be processed in centralised servers, either on-premises or in the cloud. This model is brittle and costly, and it’s also unnecessary. Most of the time, users aren’t interested in every frame. They’re looking for specific events. Edge AI enables cameras to generate metadata about what they see: “Vehicle detected at 4:02 PM,” “Person loitering at entrance,” “Package removed from shelf.” This metadata can be transmitted instantly with minimal bandwidth. Video can still be recorded locally or in the cloud, but only accessed when needed. This dramatically reduces network load and allows the cloud to be used more strategically: for remote access, long-term archiving, or large-scale data aggregation, without being overwhelmed by volume. Building smarter systems, together A single camera can run analytics from multiple third parties, all within a secure, containerised framework An equally important aspect of containerisation is how it opens up the ecosystem. Traditional security systems are often built as closed solutions. Everything—from the cameras to the software to the analytics—comes from a single vendor. While this simplifies procurement, it limits innovation and flexibility. Docker flips that model. Because it’s an open, well-established standard, developers from any background can create applications for edge devices. Integrators can mix and match tools to meet unique customer needs. A single camera can run analytics from multiple third parties, all within a secure, containerised framework. This is a profound shift. Security cameras stop being fixed-function appliances and become software-defined platforms. And like any good platform, their value increases with the range of tools available. Hybrid: The realistic future So, where does this leave the cloud? It is still essential, but in a more specialised role. The most robust, future-proof architectures will be hybrid: edge-first and cloud-supported. Real-time detection and decision-making happen locally, where speed and uptime matter most. The cloud handles oversight, coordination, and data warehousing. Real-time detection and decision-making happen locally, where speed and uptime matter most This hybrid model is especially useful for organisations with complex deployments. A manufacturing plant might retain video locally for 30 days but push older footage to the cloud to meet retention requirements. A retail chain might analyse customer flow on-site but aggregate trend data in the cloud for HQ-level insight. Hybrid gives organisations the flexibility to optimise cost, compliance, and performance. Regulatory realities It’s also worth noting that not every organisation can, or should, store data in the cloud. Privacy regulations like GDPR in Europe or similar laws elsewhere require strict control over where data is stored. In many cases, sensitive footage must remain in-country. Edge and hybrid models can make compliance easier by minimising unnecessary data movement. Conclusion: Smart security starts at the edge The next wave of innovation in physical security won’t come from bigger cloud servers or faster internet connections. It will come from smarter edge devices, with cameras and sensors that don’t just record, but understand and classify events. And the foundation for that intelligence isn’t just AI, but how that AI is deployed. Containerisation via platforms like Docker is unlocking new levels of flexibility, security, and scalability for the physical security industry. By embracing open standards, supporting modular applications, and rethinking how data flows through the system, physical security professionals can build solutions that are not only more effective but also more sustainable, secure, and adaptable. The cloud still has its place. But the edge is essential to the future for real-time intelligence, mission-critical uptime, and cost-effective deployment.

In the old days, hopping onto the platform from a not-yet-stopped train was a commonplace stunt for daily commuters in a hurry. It was a thrilling, but dangerous part of railway travel. Today, rail travel is generally much safer, but thrill and fame seekers are finding new, creative ways to use the railway to court notoriety online. Earlier this month, a young man filmed himself laying on the tracks and allowing a train to pass over him. In another instance, two people were seen misusing a level crossing to get an 'Instagram worthy' picture. Meanwhile, the media has recently reported stories from Austria to Australia of people (and in some cases children) being seriously hurt or killed whilst attempting to train surf. Safety and security of the railway Safety and security have always been a top priority for railways and supporting agencies For rail companies, such incidents cause great distress and bring often unjust headlines that question the level of safety and security of the railway. Then, of course, there is the impact on the timetable when incidents cause significant delays.  The ramifications of just one incident can be significant, as illustrated by a case in February when a track trespasser caused 16 trains to be cancelled and a further 54 to be partially cancelled at the cost of approximately 600,000 euros. Despite the negative stories, safety and security have always been a top priority for railways and supporting agencies. The British Transport Police, for example, traces its origin back to 1830 when the force was established following the death of a member of Parliament, who was struck by a passing train after alighting onto the track of the newly opened Liverpool and Manchester Railway. Modern surveillance Today, trains, platforms, yards, level crossings and sections of track are monitored by some of the very latest technology hardware and software, from high-definition cameras with built-in advanced video analytics capabilities to PSIM (physical security information management) systems that can be used to orchestrate a response to anything from a trespasser on the line to a major derailment. Even with all these systems, the sheer scale of rail networks means it is simply not possible to always have eyes everywhere. True of video analytics If a driver spots someone or something on the line and immediately applies the emergency brake What’s more, whilst the technology continues to make huge leaps forward, affordability and usability can limit their effectiveness. This has been especially true of video analytics and object detection, where distinguishing between a human trespasser or an animal can be challenging, especially in low light (a particular issue with passenger and freight trains running round the clock). With trains moving at a high speed, early detection is everything. If a driver spots someone or something on the line and immediately applies the emergency brake, it could take the train as much as one mile to come to a stop. LiDAR to the rescue So, what can be done to improve response times for drivers and other stakeholders? One recommendation is to focus on key sections of the rail network that provide easier access for trespassers, such as stations, platforms, tunnels, bridges and level crossings, where more than a quarter of all significant accidents occur on EU railways. This is already standard operating procedure for most rail companies. However, a growing number are going beyond the 'standard' safety and security measures, with the introduction of high-tech solutions such as 3D LiDAR (Light Detection and Ranging) sensors. This technology is already familiar to the rail industry. It has been used for some time in applications ranging from surveying environments in preparation for building high-speed rail networks to mapping railway tracks and surrounding infrastructure for ongoing maintenance works. Management of virtual perimeters LiDAR enables the creation and management of virtual perimeters and/or safe zones In the context of safety and security on the railway, LiDAR enables the creation and management of virtual perimeters and/or safe zones with pinpoint accuracy. A good example would be at level crossings where a high volume of vehicle and pedestrian traffic crosses the track when the barrier is raised, but it must be clear for rolling stock to pass safely. LiDAR sensors can be programmed to automatically switch on minutes before a train is scheduled to pass through the crossing and turned off after it has cleared the area. During this time, any movement detected with this ‘live zone’ would create an alert in the control room. Further layer of protection The addition of cameras would provide a real-time feed of the situation, enabling the control room operator to act. That could involve sending a message via a public address system to clear the area, alerting the approaching train driver to take appropriate action, and alerting emergency services and maintenance teams if there is a vehicle, animal or other blockage on the track. The investment many rail operators have made in PSIM and CAD (computer-aided dispatch) can add a further layer of protection. These systems provide the operator not only with guidance regarding the next best action but also automatically triggered responses to orchestrate the entire incident management process. Protecting critical infrastructure All of these pieces of rail infrastructure and the joint network stand to benefit from the use of LiDAR Level crossings are a good example of environments where it is not viable to have round-the-clock live surveillance, but monitoring is essential at key times. It is a similar case for stations late at night, bridges and depots, all of which are susceptible to acts of trespass, vandalism (particularly graffiti) and theft. All of these pieces of rail infrastructure and the collective network stand to benefit from the use of LiDAR, as incidents are prevented or their impact mitigated in terms of the effect on the timetable, negative publicity, fines and the costs of investigations. Latest Report on Railway Safety and Interoperability The latest Report on Railway Safety and Interoperability in the EU stated that “European railways remain among the safest in the world, with major accidents becoming rare and significant accidents decreasing in the last two decades.” This good news is heightened by the fact that more people than ever in Europe are choosing to let the ‘train take the strain’, with passenger numbers reaching record levels. However, whilst passengers may no longer be swinging open train doors and jumping from moving carriages just to get to work a few seconds earlier, the risks on the railways have evolved. With more rolling stock travelling at higher speeds on lines old and new, there is a need to revisit the traditional methods of safeguarding areas on the network, to deter, detect and protect against those seeking fame, infamy or gain.

There was high-level energy at GSX 2025, befitting an industry undergoing massive change. Artificial intelligence (AI) was everywhere, but not so much in the booth signage. Rather, AI has made its way beyond marketing claims and solidly into the core of the products themselves. There were hundreds of examples of how AI is changing how security systems operate, all for the better. Clearly on display at GSX 2025 was an industry in the midst of metamorphosis.  Deep integration of AI My conversations with companies across the security ecosystem revealed an industry heavily focused on leveraging advanced technologies like AI and the cloud to address increasingly complex global and localised threats. Several key themes emerged at the Global Security Exchange (GSX), sponsored by ASIS International, held Sept. 29–Oct. 1 at the Ernest N. Morial Convention Centre in New Orleans, La. Themes I heard repeated throughout the show floor included deep integration of AI, the ongoing shift toward cloud-based and hybrid architectures, and a sharp focus on modernising security systems to meet current challenges. AI and intelligent automation transform security The use of GenAI is moving beyond simple search functions into real-time decision support Companies are integrating AI and intelligent technologies to enhance analytics, streamline incident response, and improve internal efficiency. The use of Generative AI (GenAI) is moving beyond simple search functions into real-time decision support. For example, Bosch Video Systems introduced a "second tier" to its video analytics capabilities by combining highly sensitive edge detection with GenAI models in the cloud. For example, in visual gun detection, edge analytics might flag a potential gun (yellow), but the cloud-based GenAI then quickly reviews and confirms the threat (red), helping to filter out false alarms. Bosch is also using GenAI for more open-ended searches, such as a "Where's Waldo" application demonstrated at their booth. GenAI-powered system  Eagle Eye Networks says they are focused on helping integrators "organise the AI chaos” through their cloud-based video platform. Their precision person and vehicle detection capabilities work across multiple cameras. Motorola Solutions introduced Inform, an AI-assisted incident response solution designed to bring clarity to the "noise" and help security teams respond to complex threats. They also offer Avigilon Visual Alerts, an on-prem GenAI-powered system that expands the natural language interface. AI internally to improve processes The Body Workforce Mini protects frontline workers and businesses "amid rising violence and theft." The Axon Body Workforce Mini, a small “computer with a lens” for non-police applications, is AI-capable and can perform real-time translations, automated report writing, and summarisation, and can even act as a personal assistant by incorporating company policies. All those functions are built into a lightweight body-worn camera designed to safeguard frontline workers in retail and healthcare verticals. The Body Workforce Mini protects frontline workers and businesses "amid rising violence and theft." Beyond products, integration company Everon is using AI internally to improve processes, such as handling commoditised tasks, which they expect will result in better customer satisfaction. Everon wants to be known as a premier service provider and will be introducing new services in the video realm. AI-powered search and continuous system upgrades Genetec prefers the term Intelligent Automation (IA), instead of AI, to describe its empathetic interface, which can "know" what additional information a security professional needs when they click on an image, for example. Genetec says the advantages of the cloud include AI-powered search and continuous system upgrades. Their Security Centre SaaS has had a fast and successful launch. It enables cloud-based systems with local storage.  Genetec also highlighted the Cloudlink 210, a cloud-managed appliance designed to unify physical security operations that can be simply plugged in without involving IT staff. They call it a “headless appliance.” Cloud migration and the push for hybrid systems Hanwha debuted OnCAFE (Cloud Access for Everyone), a new cloud-based access control product The industry continues its strategic march toward the cloud, often through hybrid applications that blend on-prem strength with cloud flexibility. Acre's access control is described as "cloud-first technology," and they continue to focus on cloud solutions, incorporating AI. To help customers transition, they offer the "Bridge," a migration tool that allows systems to communicate throughout the move. At the same time, they are continuing to develop and enhance their core on-prem products – DNA Fusion and AccessIt!. Adding access control to supplement their video product line, Hanwha debuted OnCAFE (Cloud Access for Everyone), a new cloud-based access control product. The goal is to provide “access control that is easy;” It works alongside their OnCloud direct-to-cloud VMS as a Service platform. Future of video management The future of video management is increasingly hybrid. Milestone recently completed a three-year process of updating XProtect and building for the future of hybrid applications. At GSX, they showcased how their XProtect Evidence Manager seeks to "democratise evidence management" by collecting video, cell phone data, notes, and other metadata related to a case for easy sharing and prosecution. Also, Milestone’s “app centre” enables additional features to enhance XProtect without involving integration.  Milestone is also focusing on "Metadata Ingest," which collects and aggregates data from various manufacturers (including Genetec, Motorola, and Exacq) for use by AI. Strategic modernisation and open integration Convergint and Genetec collaborated on a "2026 Technology Modernisation Outlook" white paper A key theme for the future is the shift toward open systems and strategic modernisation, enabling security professionals to better utilise new technology. Convergint and Genetec collaborated on a "2026 Technology Modernisation Outlook" white paper, arguing that dealers and end-users need to think more strategically when buying technology. They predict that "2026 will be the year of modernisation," with tangible results including unified intelligence, flexible deployment, and lower total cost of ownership. The call for open standards and architecture was also strong. What AI needs from open systems Johnson Controls noted that cloud, AI, and open standards are its three big focus areas. Their C-CURE IQ 3.10 is gaining adoption as it unifies access and video. OpenEye is seeking to address the "AI disruption anxiety" in the industry, focusing on what AI needs from open systems. The emphasis is on the value of a Model Context Protocol (MCP), an open standard and framework to enable AI systems to integrate and share data with external tools and sources. Addressing shifting global and local threats Allied Universal's "World Security Report 2025" highlights a risen focus on executive protection Companies unveiled solutions targeted at new security concerns, particularly the rising threat of violence, theft, and misinformation. Allied Universal's "World Security Report 2025" highlights an increased focus on executive protection and cites the rise of misinformation and disinformation as the number two threat. They noted that macro trends around instability and the political and social environment are driving security threats globally. To combat physical threats, Shooter Detection Systems introduced a new outdoor sensor, which is now generally available after a favourable feedback period that included an apprehension in one municipality. The company notes the unique challenge of developing technology for a "non-cooperative" threat like a person with a gun, in contrast to most security technologies that are "cooperative" and depend on user compliance. Implementation of integrated security Flock Safety is expanding its focus beyond licence plate readers into solutions for retail, with a new initiative to automate and streamline investigative processes, which are often manual. The company also showcased "drones as automated security guards," which can be deployed within 90 seconds to provide "eyes" on a site and enhance safety. The system works on its own network and is firewalled away from the city system A tour of the City of New Orleans' Real Time Crime Centre (RTCC), hosted by Axis Communications, demonstrated a mature implementation of integrated security. The RTCC uses Axis cameras, Genetec VMS, and is tied to a Motorola Solutions Command Centre to enhance efficiency and effectiveness, operating independently of the police department. They measure success in terms of valuable hours saved in an investigation or even when an event is happening. The system works on its own network and is firewalled away from the city system. Rapidly changing industry on display The GSX 2025 highlights an industry that is moving toward more intelligent and integrated solutions. The investment in AI is shifting security from reactive monitoring to proactive, automated assistance. Throughout the show floor, the continued embrace of hybrid cloud architectures, coupled with an emphasis on open standards and modernisation roadmaps, suggests a security ecosystem built for agility and future growth.  These trends, and the GSX show itself, collectively underscore the industry's commitment to delivering scalable, next-generation solutions for a changing threat landscape.

Ibrahim Kassem, Everon’s new Chief Technology Officer (CTO), has been in the security industry since 1998 in various IT leadership roles. Most recently, he was Chief Information Officer for a video monitoring company. With most of his professional experience rooted in commercial security, Kassem has come to understand how customer needs and demands change with the evolving technology landscape. That understanding is a foundation for his new role at Everon, the national provider of commercial security, fire, and life safety solutions formerly known as ADT Commercial. Integrate AI to security operations “In this role, I am responsible for any customer-facing technology at Everon,” says Kassem. “Our primary focus is to provide a platform that will make it easy to do business with us. That platform will involve most of our solutions, including video monitoring which is the near-future focus for us.” As an integrator, Everon’s objective is to identify the best solutions. “We have partners that we leverage to help develop solutions for our customers that directly respond to their needs,” says Kassem. “For example, we partner with video camera providers to integrate AI to take security operations to the next level.” Demand for video monitoring Everon is looking to shift from reacting to events after they take place toward proactive monitoring Like most security operations, Everon is looking to shift from reacting to events after they take place toward proactive monitoring and preventing crimes as they are happening or deterring them from taking place.  The ability to detect objects and behaviours is possible through AI. “Through this detection, we can respond accordingly – that’s why it’s at the forefront of our video monitoring efforts,” says Kassem. Every pursuit at Everon is in response to customer demand, and there is tremendous demand for video monitoring, says Kassem. Customer needs are the main philosophy behind the development and acquisition of technology, which also ensures that Everon is at the forefront of evolving with the security industry. Video-based security solutions “Right now, we’re noticing a trend towards video-based security solutions versus solely intrusion and guarding,” says Kassem. Everon seeks to strike a balance between “build versus buy.” The integrator prefers to buy when there is a proven product that will bring the most value. “We’re an integrator before we are a developer of technology,” says Kassem. “However, we are not shy about complementing a technology that we purchase with technology that we build if we don’t find the proper platform.” Video monitoring solutions and services Everon continues to evolve in step with ongoing trends, including smarter AI and analytics, smarter cameras Everon continues to evolve in step with ongoing trends, including smarter AI and analytics, smarter cameras, faster internet connectivity, and availability of wireless through 4G, LTE, and 5G connections. All of these are critical pieces of the video monitoring roadmap, says Kassem. “We aim to develop our video monitoring solutions and services to provide the best value to enterprises, reduce false alarms, and focus on relevant activities to save time and money,” he adds. “That’s what we’re looking forward to in the next couple of years.” Dependence on physical security Everon provides video monitoring services on a monthly basis, so the approach plays well with their recurring monthly revenue (RMR) model. Video monitoring is in great demand, and Everon is working towards being pioneers in that space, pushing to make it a major part of their future offerings. Everon is working towards being pioneer in that space, pushing to make it a major part of their future offerings “The dependence on physical security has gotten expensive, and many responding agencies no longer dispatch without video verification, which is the biggest technology challenge currently in the commercial security space,” says Kassem. “Video monitoring is the most direct, effective answer to that challenge, replacing costly, around-the-clock guarding services while also providing video verification for first responders and law enforcement agencies.” Portfolio of security solution offerings Everon roots all its pursuits in responding to the customer. Making the difference in Everon’s approach is an eagerness to listen, an awareness of industry trends and changes, and a full portfolio of security solution offerings.  “Our technological roadmap is ambitious, innovative, and looks to the future through our thoughtful investments in this space, including through acquisitions of technology and top talent,” says Kassem. “All our efforts are supported by our teams of experts with decades of experience.”

For all the emphasis on cloud systems and centralised servers at ISC West, a lot of innovation in security video systems is happening at the edge. New advancements inside video cameras are boosting capabilities at the edge, from advancements in processing power to artificial intelligence (AI) and machine learning (ML) algorithms that can now be deployed directly on the cameras or edge devices. Advancements in AI algorithms The progress of video systems becoming smarter at the edge is driven by the need for real-time insights, lower latency, bandwidth efficiency, enhanced privacy, and improved reliability.  Advancements in edge computing hardware and AI algorithms are enabling a range of intelligent video applications across various industries, including physical security. Smarter functionality at the edge is a benefit of new computer systems-on-chips (SoCs) that are driving new heights of performance for today’s cameras.  Axis Communications’ ARTPEC-9   Axis Communications’ new ARTPEC-9 SoC offers advanced video compression to reduce bandwidth Axis Communication’s new ARTPEC-9 system-on-chip (SoC) offers advanced video compression to reduce bandwidth and storage needs. With a low bitrate, the SoC helps deliver high-quality imaging with outstanding forensic detail. ARTPEC-9 also offers enhanced deep learning capabilities to allow users to leverage the latest video analytics and accelerate the implementation of AI technology. Axis maintains control over all aspects of the chip’s development to ensure high quality and cybersecurity. Among the benefits of ARTPEC-9 are better AI and deep learning, better image quality, better cybersecurity, and AV1 license-free video compression (see below). Hanwha Vision’s Wisenet 9 Hanwha Vision has launched Wisenet 9, its most advanced AI-powered System on Chip (SoC). Wisenet 9’s enhanced edge AI capabilities increase performance as the volume and complexity of security threats demand real-time, accurate analysis. By elevating edge-device performance, AI empowers systems to quickly analyse vast amounts of video data and discern crucial patterns and anomalies. A key differentiator driving Wisenet 9 is deployment of two Neural Processing Units (NPUs), which improve performance three-fold compared to Wisenet 7, the previous SoC generation. While one NPU handles image processing, the other focuses on object detection and advanced analytics. This dual NPU concept was introduced to ensure video quality and analytics have independent resources, thus preventing one function from impacting the performance of the other. The latest from Ambarella Ambarella is a supplier of edge AI systems-on-chips to multiple video camera manufacturers Off the ISC West trade show floor in a nearby meeting room, semiconductor company Ambarella demonstrated how it will continue to push the envelope of what is possible with generative AI at the edge. Ambarella is a supplier of edge AI systems-on-chips to multiple video camera manufacturers and recently achieved the milestone of 30 million cumulative units shipped. The demonstrations highlight Ambarella’s ability to enable scalable, high-performance reasoning and vision AI applications across its ultra-efficient, edge-inference CVflow 3.0 AI SoC portfolio. The company’s DeepSeek GenAI models run on three different price/performance levels of its SoC portfolio. In addition to advancements in GenAI processing at the edge, Ambarella integrates image processing, encoding and system-level functions into all its AI SoCs. New standard for video encoding: AV1 AV1 compression is a next-generation video coding technology that offers significant improvements in compression efficiency and video quality, especially at lower bitrates. Its royalty-free nature positions it as a crucial codec for the future of internet video. AV1 compression is a next-generation video coding technology. Axis Communication’s ARTPEC-9 chip now supports the AV1 video encoding standard. By embracing this standard, which is new to the physical security market although it was introduced in 2018, Axis sets the stage for AV1 compression to eventually become the industry standard, replacing H.264 and H.265. Network video transmission AV1 is an open-source, license-free coding format designed mainly for efficient network video transmission AV1 is an open-source, license-free coding format designed specifically for efficient network video transmission. It delivers high-quality video at low bitrates, reducing bandwidth consumption and storage costs. The codec was developed by the Alliance for Open Media (AOM), a nonprofit organisation founded in 2015 by Google, Intel, Amazon, Microsoft, Netflix, and Mozilla (among others), to provide open-standard, next-gen video coding technology. AV1 is ideal for cloud solutions—making streaming applications more robust, scalable, and capable of delivering real-time insights. Now the ARTPEC-9 chipset brings these benefits to the surveillance industry, and AV1 is currently supported by AXIS Camera Station. Providers of major video management solutions (VMS) such as Genetec and Milestone will be adding support for AV1, with further developments already underway. More intelligence at the edge Intelligence inside video cameras comes from the processing power and algorithms that enable them to perform tasks beyond simply capturing and recording images. This "intelligence" allows cameras to analyse the video stream in real-time, identify objects, detect events, and make decisions or provide alerts based on what they "see." New and improved SoCs are driving performance improvements at the edge. The increasing power of embedded processors and advancements in AI are continuously expanding the capabilities of intelligent video cameras.

ATÜ Duty Free, Turkey’s pioneering duty-free retailer, aimed to establish a comprehensive security and AI-powered surveillance system in the Antalya Airport new terminal building project to maximise operational efficiency and customer experience. This critical project was successfully implemented thanks to Hanwha Vision’s high-performance camera solutions and deep learning-based AI capabilities, combined with the flawless implementation by integrator Arte Teknoloji. This project, utilising over 1,450 cameras, serves as a model for modern retail security and business intelligence applications. ATÜ Duty Free ATÜ Duty Free is one of Turkey’s and the world’s pioneering players in international standard duty-free retail. Operating in major Turkish airports such as Istanbul, Ankara, Izmir, and Antalya, as well as abroad, ATÜ is committed to providing travellers with a luxurious and enjoyable shopping experience. Due to its wide product range, high customer traffic, and sensitive duty-paid/duty-free sales processes, security systems are not only a means of protection for ATÜ but also a critical resource for business intelligence and operational management. Arte Technology A pioneer in the electronic security systems sector since 2006, Arte Technology is an integrator company specialising in low-voltage systems that has delivered hundreds of successful projects. Arte Technology offers its customers comprehensive services, from sales to after-sales support, in line with international standards and local regulations, providing solutions from global brands such as Hanwha Vision. Project objectives and challenges The new terminal building at Antalya Airport, with its high passenger traffic and extensive and complex store layout, required the following objectives: Advanced security: Prevention of in-store theft, inventory losses, and security breaches in critical areas. Operational efficiency: Effective management of customer flow, congestion levels, and checkout processes in the retail area. Business intelligence: Collecting data to analyse customer behaviour, optimise in-store layouts, and increase sales. Integration and management: Seamless and reliable management of over 1,450 cameras and analytical data through a centralised VMS (Video Management System). Hanwha Vision’s solution The backbone of the project consists of Hanwha Vision cameras, chosen for their reliability and high image quality. A total of 1,450 cameras have been deployed at the terminal’s most critical points: QNV-C6083R (Dome) – 1200 cameras for in-store areas, corridors, warehouses and customer tracking.  QNO-C6083R (Bullet) – 250 cameras for exterior facades, entrances/exits, and critical surveillance points. AI applications: enhancing efficiency and customer experience Using Hanwha Vision’s camera and Genetec’s VMS integration, three critical AI analytics solutions tailored for ATÜ were implemented: People counting: By accurately measuring passenger density in different sections of the store and at the main entrances, working hours and staff distribution were optimised. Queue management at checkouts: Cameras installed in checkout areas detect queues forming and send alerts to staff to manage. Heatmap: Areas where customers spend the most time within the store are analysed visually. This data has become an indispensable business intelligence tool for optimising product placement (merchandising) and window displays. Software integration All camera and analytics data is consolidated on the industry-pioneering Genetec VMS platform. This powerful integration has provided ATÜ with the following capabilities: Centralised monitoring and recording management. Rapid visualisation and reporting of Hanwha Vision AI data within the VMS interface. Establishment of alert mechanisms for immediate response to incidents. Results and benefits Thanks to this comprehensive project, ATÜ Duty Free has achieved significant gains not only in security but also in operational excellence at Antalya Airport: Precise inventory control – High-resolution surveillance minimises the risk of theft and loss, particularly in areas containing luxury and duty-free goods. Enhanced customer experience – Queue Management has reduced waiting times, for improved customer satisfaction. Efficient staff deployment – The right number of staff were assigned during peak hours using people counting data. Store optimisation – Heatmap analytics highlight the most popular store areas, maximising sales potential. This case study demonstrates how Hanwha Vision’s reliable camera hardware, alongside distributor Entpa Elektronik A.Ş. and its Project Manager Eyüp Tetik, combined with Arte Technoloji’s integration expertise, provides the retail sector not only with video recording but also with actionable business intelligence that delivers value.

Artificial Intelligence Technology Solutions, Inc., a pioneer in AI-driven security and productivity solutions, along with its wholly owned subsidiary, Robotic Assistance Devices, Inc. (RAD), announced that it has received an order for ten ROSA™ units bundled with ten SARA™ (Speaking Autonomous Responsive Agent) licences for deployment inside a major sports venue in the United States. The new installations will support the arena’s security team with enhanced monitoring, rapid event detection and autonomous voice-driven response throughout interior zones. Evaluating modern security technologies The arena had been evaluating modern security technologies to address persistent trespassing, vandalism and other unauthorised activity across its interior spaces. This order follows a series of assessments in which RAD solutions demonstrated clear advantages in autonomous detection, operator support and rapid on-site response.  The venue is also reviewing additional RAD offerings for broader facility coverage, including ROAMEO™ and RIO™ units for expanded indoor and outdoor protection. How venues can strengthen security “This is an ideal application for ROSA paired with SARA,” said Mark Folmer, CPP, PSP, President of RAD. “These deployments show how venues can strengthen security, improve response times and reduce operating costs with a solution that works around the clock without added staffing.” SARA’s real-time detections ROSA units equipped with SARA, the Company’s multiple award-winning agentic AI platform, will provide continuous event detection, verification and automated voice response, giving on-site staff and remote operators clearer insight into activity across the arena. SARA’s real-time detections and notifications help reduce operator workload, improve situational awareness and ensure that critical events receive immediate attention. This combination allows security teams to focus on higher-value tasks while maintaining consistent coverage. ROSA’s AI-driven security analytics ROSA is a multiple award-winning, compact, self-contained, portable, security and communication solution that can be installed and activated in about 15 minutes. ROSA’s AI-driven security analytics include human, firearm, vehicle detection, licence plate recognition, responsive digital signage and audio messaging, and complete integration with RAD’s software suite notification and autonomous response library.  Two-way communication is optimised for cellular, including live video from ROSA’s high-resolution, full-color, always-on cameras. RAD has published seven Case Studies detailing how ROSA has helped eliminate instances of theft, trespassing and loitering at mobile home parks, retail centres, hospital campuses, multi-family communities, car rental locations and construction sites across the country. 

In recent years, campus safety and student mental health have drawn growing attention. Government data in Taiwan show a rise in emotional and stress-related issues among students aged 15–24. Unauthorised attempts to enter campuses still occur, unsettling students and staff. Strengthening security management and proactive alerting has therefore become a priority for schools. To address risks such as expansive campuses, multiple entry points, blind spots, and potential intrusions, VIVOTEK (3454-TW), the leading global security solution provider, has been promoting its AI-driven education security solutions, designed to proactively detect risks and safeguard school environments. Era of real-time detection and proactive response According to a report by research firm GII, the global education security market is projected to reach USD 910 million in 2025 and grow to USD 1.6 billion by 2030, representing a compound annual growth rate (CAGR) of 11.96%. As AI video analytics, edge computing, and cloud management platforms mature, security systems are evolving beyond passive video playback into an era of real-time detection and proactive response.  In education settings, AI can automatically detect intrusions into restricted zones and trigger instant alerts, enabling security personnel to make swift and informed decisions. VSS Pro platform Recently, VIVOTEK deployed a comprehensive education security solutions at a renowned national university in Taiwan, installing hundreds of AI Bullet and Fixed Dome cameras across entrances, rooftops, classrooms, corridors, walls, elevators, and parking areas. Integrated with the VAST Security Station (VSS) Pro platform, the system delivers: Proactive prevention: AI virtual fence defines restricted zones, detects loitering, notifies the security centre, triggers on-site audio alerts, and coordinates real-time response. Efficient investigations: Broad coverage flags abandoned objects, while AI deep search traces intruders or vehicles in the shortest time using attributes (e.g., clothing colour, backpack, vehicle type) to quickly assemble event timelines. VIVOTEK’s education security solutions With comprehensive, AI-enabled coverage, schools can monitor in real time and avert risks, fostering safe, welcoming, and sustainable learning environment.  Beyond Taiwan, VIVOTEK’s education security solutions are also used in the United States, Belgium, and Indonesia, tailored to local needs to build a global network of smart, sustainable campuses.

Amthal has delivered a complete security upgrade at The Maltings Shopping Centre, building on a partnership of more than three decades to transform the way the centre is monitored and managed. In supporting The Maltings since 2013 and taking on full management in 2017 Amthal could ensure the system remained effective through a dedicated maintenance programme until the time came for a complete upgrade. Integrated with the barrier system The new solution introduces 39 state-of-the-art Dahua cameras, including PTZ, 180-degree and AI-powered people-counting models, to provide full coverage across all seven entrances and car parks. Automatic number plate recognition has been integrated with the barrier system to improve vehicle access control, while people-counting technology now delivers reliable visitor data to track peaks and troughs. Active deterrent measures and signage strengthen site protection, supported by EMCS Sentry software to continuously monitor hardware performance and camera availability. Secure on-premises storage ensures all data remains under the centre’s direct control. Redesigned digital control desk Says Richard Marrett, Centre Director at The Maltings: “The new systems have changed the way we manage the centre. The cameras and control desk give us clearer oversight and together with features like people counting and vehicle access ensures we can identify incidents, respond quickly and review activity with confidence. Behind it all is the trust we have in Amthal, built over three decades of working together to keep The Maltings safe and welcoming.” A redesigned digital control desk now brings all live feeds, recordings and analytics together on a single platform, giving the security team clearer visuals and wider oversight than ever before. These features provide greater efficiency, faster response times and stronger protection. Management and security teams All installation work was carried out while the centre remained fully open. Amthal partnered with Dahua together with the management and security teams to plan the schedule so that tenants, staff and shoppers experienced no disruption. Kris Hallett, Business Development Director at Dahua Technology UK, added: “The upgraded cameras now capture detail even in low light, and features like auto-tracking reduce the need for constant manual monitoring. People-counting sensors give the team reliable data across key areas, while number plate recognition integrated with the car park barrier has streamlined vehicle access and reduced misuse." "All can be accessed at any time, even remotely. Working alongside Amthal, we were able to introduce all of this without disruption to the centre’s daily operations.” New requirements and advances in security technology The original system was first installed in 1995, marking the beginning of a long-term relationship that has seen Amthal support The Maltings in adapting to new requirements and advances in security technology. Paul Rosenthal, Amthal Group Business Development Director, concluded: “Our established partnership with The Maltings demonstrates how we work with clients over the long term. This complete upgrade with latest Dahua technology has delivered an integrated system that is straightforward for the team to use and manage via the new control centre. It ensures the centre remains safe, accessible and an enjoyable experience with complete peace of mind for tenants and shoppers alike.”

Data overload is real. Sometimes it seems we are bombarded by the sheer volume, velocity, and variety of data available in our personal lives, and in our work lives. The solution is to figure out how to make sense of the data and transform it into real information we can use. In the case of physical security systems, new opportunities are emerging every day to utilise data to make our businesses safer and better managed. We asked our Expert Panel Roundtable: What is the expanding role of data in physical security systems? Why does it matter?

Future-proofing your skillset is about embracing continuous learning and developing a versatile set of competencies that remain valuable regardless of technological shifts or industry changes. In the security marketplace, it is not about predicting the exact jobs of the future, but rather equipping yourself to adapt and thrive in the uncertain security landscape. But where to begin? The emerging technology shifts in the security industry provide clues, such as the growing importance of cybersecurity and artificial intelligence (AI). We asked our Expert Panel Roundtable: How can physical security professionals “future-proof” their skillsets to prepare for emerging technologies?

Physical security technologies are a prominent tool used by correctional facilities to provide a safe, secure, and controlled environment for staff, inmates, and the wider community. Among several functions, security technologies are used to prevent unauthorised access, to detect contraband, to monitor inmate movements and activities, and to protect staff. For security technology manufacturers, integrators and consultants, the corrections market presents distinctive challenges. We asked our Expert Panel Roundtable: What are the unique aspects of the corrections market, and how should the physical security industry adapt?