Day: June 28, 2026

Milind BorkarStrategic Consultant, VICON Although only a small number of airports are using video analytics in a sophisticated manner, there is no question that the technology offers the potential for improving video-based security operations. The questions which the airport must address in considering whether and to what extent video analytics should be deployed are: The false alarm issue is fundamental. A single or even a small number of cameras which false alarm several times a day may be tolerated, but San Diego International Airport (SDIA) is looking at a population of some 400 cameras through the AMP2 expansion program. Even if 10 percent, or 40 cameras, are set up with video analytics, and if all or most of alarms make false alarm several times each day, the alarms would overwhelm the SOC and the system would be shut down. Exterior and interior opportunities for using video analytics at SDIA present different challenges, and have to be treated differently. The video cameras now being used for exterior perimeter surveillance are not suitable for video analytics at night for a variety of reasons including: Better cameras and lenses, and better and more controlled scene lighting, may enable video analytics to be effective for perimeter surveillance, but that needs to be demonstrated. Infrared and thermal cameras may be better choices, as they eliminate the problems of scene illumination and poor visibility, but they, too, must be subject to testing. The following images, recorded by Siemens Corporate Research, illustrate some of the scene variables that have to be dealt with in applying video analytics to exterior surveillance. Scene conditions at night, when target contrast is usually reduced and bright point light sources in the scene may be present (as in the cargo area of SDIA), can be especially challenging. Applying video analytics indoors should present fewer problems. Scene illumination should be under the airport’s control, wind and fog will not be issues, distances will be relatively short etc. That does not, however, avoid the need for careful planning and testing, both of which are prerequisites to realizing effective performance. The potential impact of false alarms from a large number of cameras argues for a minimalist approach in which a few mature video analytic functions are installed and then are subject to rigorous testing in the real airport environment before being extended. Each analytic function will present its own unique requirements. This process starts with defining the minimum functionality needed at each camera site, which is much an airport responsibility as a technical issue; the environment in which the function must perform (camera motion being a critical problem, since video analytics are designed to work with fixed cameras, along with scene illumination); camera placement and aspect needed to achieve the performance objectives; and the maximum false alarm rate that can be tolerated. In this context, being able to do one function very well is more important than doing several functions less well. Of the many offerings available from different vendors, the following list is representative of the video analytic functions that SDIA might consider adopting selectively based on the specific requirements of each situational condition: Variable lengths of time by passenger traffic flow and other objects of variable size and dwell time, and persons who move in and out of the ROI set for associating them with the targeted objects. The function is vulnerable to the presence of other objects of similar size in the camera field of view, target-to-background contrast, the movement of persons in front of and around the object that can grow quickly. Drawing a box (ROI) around an object is the easy part (and the object should occupy 25 percent or more of the field-of-view of the camera for best results). Defining what constitutes an ‘object of interest’ worthy of setting an alarm may be based on criteria such as the amount of time since the object last moved and on rules established for object behavior. Associating objects with owners can be very complicated, especially when other passengers are present and move in and out of the ROI. If a bag enters the terminal lobby with two persons and one or both leave the bag at different times, and one returns but other persons also appear in the ROI, the software will be challenged to associate ‘ownership’ with the proper person and establishing a rule for what constitutes an alarm will be similarly challenged. Heft Detection, Stationary Object Detection, and Loitering Object Detection are variations of the abandoned object function, each with its own peculiarities. Video analytics come in several ‘flavors’ including policy-based, rules-based, and behavior-based – these terms being relatively loosely defined. The classes will often overlap, with each new class increasing detection performance but also computational complexity (and cost). Behavioral analytics, for example, intelligently monitor all the standard detected features of moving objects and build up a concept, over a large period of time, of what motion can be deemed as typical, and thus can be ignored. Events then become triggered by abnormal behavior which the airport operator should define. A pedestrian loitering and/ or approaching a number of different cars in a parking lot in a short period of time, indicating potential criminal activity, could be viewed as abnormal behavior, and consequently generating an event. How the video analytics function is less important than what they deliver for airport security in the real-word environment, whether they be understood by the operators, and whether they be adapted to the moves/ adds/ changes typical of an airport operation. Video analytics are best applied to full resolution (4CIF) images at full frame rate (30 fps), because this presents the greatest amount of information in the shortest time for analysis. Proposals to apply video analytics to CIF images (quarter frame) and at reduced frame rates, typically 7 to 12 fps, are more susceptible to false alarms. The best place to perform live video analytics is at the camera, at the edge of the network, where the analytics can be applied to…

Sunjoy Nath, CSM Counter-Terrorism & Intelligence Anyalist OGWs refer to individuals who provide logistical, financial, informational, and ideological support to terrorist or militant groups without directly participating in armed combat. Indian security forces use this term extensively for sympathizers who offer shelter, cash, intelligence, recruitment aid, propaganda, and safe houses. In West Bengal, jihadist activities center on cross-border networks, primarily linked to Bangladesh-based outfits like Jamaat-ul-Mujahideen Bangladesh (JMB) and its India chapter, with some Al-Qaeda or ISIS-inspired modules. Supporters here function similarly to OGWs – providing safe houses, radicalization platforms, document forgery, funding channels, and cross-border movement. Key characteristics in West Bengal Notable incidents and networks OGWs refer to individuals who provide logistical, financial, informational, and ideological support to terrorist or militant groups without directly participating in armed combat. Indian security forces use this term extensively for sympathizers who offer shelter, cash, intelligence, recruitment aid, propaganda, and safe houses Why called OGWs? (Over Ground Workers) These supporters operate within society – as locals, educators, or community figures – making them hard to detect. They enable: Without this layer, foreign or hardcore terrorists struggle to operate. In West Bengal, this manifests as a ‘terror blind spot’ due to political sensitivities, vote-bank dynamics, and challenges in regulating madrassas or border security. This pattern aligns with global jihadist strategies: blend into communities, build support networks, and use local facilitators (OGWs) as the enablers. West Bengal’s issues are more about infiltration and radicalization pipelines than sustained domestic militancy like in Kashmir, but the support structures play a parallel role. Security assessments emphasize strengthening border management, education reform, and deradicalization.

Aditya KhemkaManaging Director, CP PLUS For years, surveillance technology evolved around a single assumption – that infrastructure already existed. Cameras were designed with the expectation that every location would have stable electricity, broadband connectivity, structured cabling, networking equipment, and the technical ecosystem required to support continuous monitoring. While this worked effectively in urban offices, malls, corporate campuses, and smart buildings, the reality across vast parts of India remained very different. Beyond city centers and organized commercial zones lie millions of homes, farms, warehouses, factories, construction sites, village establishments, and remote facilities where security concerns are equally urgent, yet traditional surveillance systems remain impractical. In these locations, the challenge was never merely about installing a camera; it was about enabling the entire ecosystem necessary to keep that camera functioning. This is where CP PLUS is driving a remarkable transformation with the integration of the CP PLUS EZ-S35T 3MP 4G PT Camera and the CP PLUS CP-SL06K Solar Panel Kit. Together, these technologies are reshaping the very philosophy of surveillance deployment by eliminating the two biggest barriers that have historically restricted security adoption in remote environments – internet dependency and electrical dependency. The result is a highly intelligent, self-sustaining, wire-free surveillance solution capable of functioning even in the remotest corners of the country where broadband connectivity may not exist, and conventional wiring becomes economically or physically impossible. The significance of such a solution becomes increasingly evident when one observes the changing nature of India itself. The country’s growth is no longer concentrated solely within metropolitan boundaries. Industrial expansion is rapidly moving toward Tier-2 and Tier-3 cities. Warehousing hubs are emerging along highways and peripheral industrial corridors. Agricultural modernization is accelerating across rural regions. Renewable energy projects are spreading into isolated landscapes. Small factories, workshops, poultry farms, retail outlets, telecom infrastructure, educational institutions, and temporary project sites are appearing far beyond the reach of conventional urban infrastructure. Yet despite this expansion, security vulnerabilities continue to grow in these areas due to inadequate surveillance capabilities. Traditionally, deploying CCTV systems in such environments involved enormous logistical complications. Extensive cabling had to be laid across large distances. Broadband installations required coordination with internet service providers. Network switches, routers, DVRs, or NVRs had to be installed and maintained. Continuous power supply became essential. In many cases, the cost of setting up the supporting infrastructure exceeded the actual cost of the surveillance equipment itself. Even after deployment, these systems remained vulnerable to wire damage, voltage fluctuations, environmental exposure, and recurring maintenance issues. For remote deployments, surveillance often became an expensive burden rather than a practical solution. The CP PLUS EZ-S35T changes this equation fundamentally by removing the need for conventional Wi-Fi or broadband infrastructure altogether. Instead of relying on wired internet connectivity, the camera operates using 4G LTE networks, allowing users to deploy surveillance systems virtually anywhere mobile network coverage is available. This seemingly simple shift carries revolutionary implications. It transforms surveillance from a location-dependent technology into a location-independent one. By simply inserting a SIM card, the camera can establish remote connectivity without requiring routers, LAN cables, or broadband installations. This dramatically simplifies deployment across remote homes, farms, offices, temporary facilities, and industrial locations where internet infrastructure may be weak or nonexistent. For years, surveillance technology evolved around a single assumption – that infrastructure already existed. Cameras were designed with the expectation that every location would have stable electricity, broadband connectivity, structured cabling, networking equipment, and the technical ecosystem required to support continuous monitoring What makes this development particularly important for India is the sheer scale of mobile network penetration across the country. In many rural and semi-urban regions, 4G coverage has expanded far more rapidly than wired broadband infrastructure ever could. The EZ-S35T intelligently leverages this reality, enabling users to establish surveillance systems in locations that were previously considered inaccessible for continuous remote monitoring. A warehouse located outside city limits, a farmhouse surrounded by agricultural land, a roadside commercial establishment, a mining project, a village school, or a factory under construction can now maintain live surveillance without the complexities of traditional networking infrastructure. Equally transformative is the integration of the CP-SL06K Solar Panel Kit, which addresses another longstanding challenge in remote surveillance – uninterrupted power availability. Across many parts of India, especially in rural and semi-urban regions, electricity supply can remain inconsistent, unpredictable, or entirely unavailable for extended durations. Conventional surveillance systems become ineffective in such environments because cameras cease functioning during outages unless supported by expensive backup systems. The CP-SL06K changes this reality by introducing energy independence into the surveillance ecosystem. With solar-powered charging capabilities and an integrated battery backup system, the solution enables continuous surveillance operations even in off-grid or low-power environments. This shift toward solar-powered surveillance is not merely an engineering advancement; it represents a strategic evolution in how security systems are conceptualized. Instead of surveillance depending upon infrastructure, the surveillance system itself becomes self-sustaining infrastructure. Powered by sunlight and connected through mobile networks, the combined EZ-S35T and CP-SL06K ecosystem creates an autonomous monitoring solution capable of functioning almost anywhere. This opens enormous possibilities for sectors where conventional surveillance deployments were once considered impractical or financially unviable. For homeowners with isolated properties or farmhouses, this solution introduces an unprecedented level of peace of mind. Families can remotely monitor entrances, boundaries, livestock areas, storage spaces, or vacant properties directly through mobile applications without depending on local internet connectivity. For small businesses and factories, the solution offers operational visibility without requiring major infrastructure investments. Shop owners, warehouse operators, workshop managers, and industrial site supervisors can oversee activities remotely, receive motion alerts, engage in two-way communication, and maintain visual records even in locations where traditional surveillance systems would have been impossible to deploy. Beyond infrastructure flexibility, the EZ-S35T also incorporates advanced intelligent surveillance capabilities that elevate its practical effectiveness. Features such as human detection, motion tracking, full-color night vision, active deterrence through built-in sirens, two-way audio communication, and remote pan-tilt functionality allow the camera to deliver comprehensive situational awareness rather than merely passive recording. Its ability…

Kunwar Vikram SinghChairman, Central Association of Private Security Industry ( CAPSI ) How CAPSI’s Persistent Advocacy at MHA is Transforming the Sector A quiet revolution has begun On 2nd May 2026, the Ministry of Home Affairs (MHA) issued a notification that while understated in tone, carries profound significance for nearly 10 million private security professionals across India. With effect from 15th May 2026, two provisions of the Private Security Agencies (Regulation) Act, 2005 – Section 12 and Section 20(2) – stand omitted. In simple language – private security agencies and their personnel can no longer be criminally prosecuted for procedural lapses that were never truly criminal in nature. This is not a coincidence. It is the outcome of years of determined advocacy by the Central Association of Private Security Industry (CAPSI) – India’s apex body for the private security sector – and marks a turning point in the long journey to transform private security from a loosely organised trade into a respected, professionally governed industry. Understanding what has changed – And why it matters As for the security professional on the ground, legal language can be distant and irrelevant, let me explain here in the simple terms that what this amendment means. Until 14th May 2026, if a private security agency failed to display its licence at its office premises (as required under Section 12), it could be fined up to ₹25,000 – and face suspension or cancellation of its licence. The same penalty applied if an agency was found in violation of training norms (Section 9) or guard eligibility norms (Section 10). Earlier, these punishments were treated as criminal in nature. Let us think about for a moment: a guard deployment firm – struggling with delayed client payments, navigating 29 different state-level rules, managing thousands of guards across districts – could be hauled before a court and fined because a framed licence was not visibly hung on the wall – or because a guard’s training certificate was not updated on time. From 15th May 2026, this changes – the criminal sting has been removed from these procedural violations. The State Controlling Authority can still take regulatory action – suspend or cancel the licence – for genuine non-compliance. But the threat of criminal prosecution for technical lapses no longer hangs over agency owners and their staff. For the first time, the law recognises a crucial distinction – a regulatory failure is not the same as a criminal act. What still applies – and must be respected This is an important clarification for both industry professionals and the public. Decriminalization does not mean deregulation. The PSAR Act’s substantive obligations remain fully operative. Operating without a valid PSARA licence is still a criminal offence – punishable with up to one year of imprisonment and a fine. Training standards for guards and supervisors under Section 9 must still be met. Eligibility norms for guards – age, citizenship, character verification, physical fitness – under Section 10 remain mandatory. Unauthorised use of military or police uniforms is still a criminal offence – and the Controlling Authority retains full power to cancel or suspend licences for genuine non-compliance. The message is clear – the law trusts the industry more, but it still watches over it. Compliance is not optional – it is simply being enforced more intelligently. The force behind the change: CAPSI’s Role The amendment did not arrive on its own. It is the product of relentless, structured advocacy by CAPSI – an organisation that has been the conscience and voice of India’s private security sector for over two decades. CAPSI’s initiatives and relentless pursuit over the years played a decisive role in the Parliament enacting the PSAR Act itself in 2005, which was quickly followed by States adopting their PSARA Rules – taking the first step towards transforming the industry from an unorganised one to an organised sector. That foundational contribution was only the beginning. CAPSI has since been playing a leadership role in the formulation of global standards and best practices for the private security industry worldwide, and was invited by the United Nations Office on Drugs and Crime (UNODC) to participate in a planning meeting for civilian private security services at Abu Dhabi, where it was taken as a member of the Standing Committee to take that UN initiative further. Closer home, CAPSI has remained in constant touc h with MHA and State Controlling Authorities to modify Model Rules in order to ensure ease of business for private security agencies. More recently, CAPSI has been consistently raising the agenda of amendments to PSARA and its rules at the highest levels, including in direct meetings with senior MHA officials, where it was informed that a grand review of PSARA is being undertaken on the instructions of the Hon’ble Home Minister himself, with senior MHA officials assigned to complete the exercise within a stipulated timeframe. The decriminalization notification of 2nd May 2026 is a direct and tangible fruit of this sustained engagement. The March 2026 – A turning point The momentum behind this reform received further impetus from a landmark review meeting held at MHA on 13th March 2026. The meeting was held under the chairmanship of Joint Secretary (Police Modernization) R. Prasanna, IAS, with participation from CAPSI, FICCI and others stakeholders. The initiatives taken by MHA through issuance of advisories to State/ UT Controlling Authorities and inter-Division/ Ministry consultations to resolve various issues of private security associations were conveyed at the meeting. Stakeholders raised several critical operational challenges – delays in licence approvals and renewals with significant pendency across states; inconsistent implementation of PSARA provisions; non-uniform training requirements; challenges with GST – particularly the Reverse Charge Mechanism; repeated police verification processes; delayed payments to security agencies and guards; and operational inefficiencies including manual submission of guard data in some states. Acknowledging that licence pendency remains a major issue, the MHA emphasised alignment with the government’s broader vision of ‘Minimum Government, Maximum Governance.’ Key follow-up actions announced include – a joint meeting with…

How AI voice cloning is changing the way we think about trust and identity. Your phone rings. You answer it and hear a voice you know very well. It could be your child, a family member, a close friend or even your boss. The person sounds worried and asks for urgent help. They need money, information or immediate action. The voice feels completely real. You recognize the way they speak, their tone and their emotions. Without thinking twice, you trust what you hear but what if that person never made the call? What if the voice was created by Artificial Intelligence? Just a few years ago, this would have seemed impossible. Today, it is becoming a reality. Artificial Intelligence (AI) voice cloning has developed so quickly that a computer can now recreate a person’s voice with surprising accuracy. A short audio sample is often enough for advanced systems to learn how someone sounds and generate speech that closely resembles the original speaker. It is one of the most fascinating technological developments of our time. At the same time, it raises a serious question. If a voice can be copied, how do we know who is truly speaking? For generations, a person’s voice has been one of the strongest signs of identity. We recognize people not only by their face but also by the way they speak. A voice carries emotions, memories and personal connections. It can make us feel safe, comforted and understood. That is what makes AI voice cloning so powerful and also so concerning. The technology works by studying the unique patterns of human speech. AI systems analyze tone, pitch, pronunciation, rhythm and other details that make every voice different. Once the system understands these patterns, it can create new sentences in that voice even if the person never actually said those words. There are positive uses of this technology. It can help people who have lost their ability to speak and create new possibilities in communication and accessibility. However, for everyday people, the bigger concern is not how AI voice cloning is used in laboratories or special projects. The bigger concern is how it can be misused. Most of us naturally trust familiar voices. When we hear someone we know, we usually do not stop to question whether it is really them. This trust is a beautiful part of human relationships but it can also become a weakness when technology can create realistic copies. Around the world, AI-generated voices are being used in scams and fraud attempts. Criminals can imitate family members, colleagues or business leaders to create panic and pressure. When emotions are high, people may react quickly without verifying the situation. So how can we protect ourselves? These situations feel believable because they are designed to trigger emotions before logic. What makes this issue more serious is that it does not affect only famous people or public figures. It can affect anyone. Every day, people share voice recordings through social media videos, voice messages, online meetings, podcasts and public content. These recordings become part of our digital presence. While technology helps us stay connected, it also creates new risks that we need to understand. How AI voice cloning is changing the way we think about trust and identity. Your phone rings. You answer it and hear a voice you know very well. It could be your child, a family member, a close friend or even your boss. The person sounds worried and asks for urgent help. They need money, information or immediate action. The voice feels completely real. You recognize the way they speak, their tone and their emotions. Without thinking twice, you trust what you hear but what if that person never made the call? What if the voice was created by Artificial Intelligence? The first step is simple, verify before trusting. If someone contacts you asking for money, confidential information or urgent action, take a moment before responding. Call the person back using a number you already know. If feasible send a message through another platform. Ask a question that only the real person would know. A few extra seconds/ minutes can prevent a major mistake. Families can also create a simple family code word or private phrase that only close members know. For example, parents and children can decide on a word to use only during emergencies. If someone calls claiming to be a family member after an accident or asking for urgent financial help, asking for that code or a personal question only they know can help confirm their identity. Simple steps like these may feel unnecessary today but they can become extremely valuable as technology continues to improve. Businesses should also create stronger verification methods instead of depending only on voice instructions for important decisions. A familiar voice should be a starting point for confirmation, not the final proof of identity. This does not mean we should fear technology. Innovation has always changed the way people live and communicate. The important thing is learning how to use new tools responsibly while understanding the risks they bring. Awareness is becoming one of the most important skills of the digital age. Technology companies, educators and policymakers also have a role to play. As AI voice cloning becomes more advanced, stronger safety measures and public awareness will be needed to protect people from misuse. The discussion around AI voice cloning is not only about artificial intelligence. It is about trust, identity and the way we understand reality in a changing world. For generations, hearing someone’s voice was enough to believe we knew who was speaking. Today, that certainty is changing. The future will bring many benefits from AI but it will also require us to become more careful, aware and responsible. Machines may learn to imitate our voices but human judgment will remain our strongest protection. Because the real challenge is not that technology can sound like us. The real challenge is learning to look beyond the voice and understand who is…

Overcoming the limitations of rolling shuttersensors in high-speed vehicle surveillance Chirakandathil JainZonal Business Manager – South, India for Vicon Industries The growing adoption of Intelligent Transportation Systems (ITS), smart cities, tolling infrastructure, and automated access control has elevated Automatic Number Plate Recognition (ANPR) from a convenience feature to a mission-critical technology. However, the effectiveness of any ANPR system depends not only on software algorithms but also on the imaging technology behind the camera. While advances in artificial intelligence have significantly improved plate recognition accuracy, one fundamental challenge remains – capturing clear images of fast-moving vehicles. This is where Global Shutter technology is emerging as a game changer. While AI-driven OCR engines and deep learning analytics have significantly improved license plate recognition accuracy, the quality of the captured image remains the foundation of any successful ANPR deployment. Global Shutter technology ensures that AI algorithms receive distortion-free images, maximizing recognition performance. Understanding the challenge Capturing vehicle license plates may seem straightforward, but in real-world deployments several factors make the task extremely demanding such as high-speed traffic, sudden acceleration and braking, varying lighting conditions, headlight glare at night, multiple lanes of traffic, and/ or motion-induced image distortion, For ANPR systems, image quality is everything. Even the most advanced recognition engine cannot compensate for distorted or blurred images. Rolling shutter: The traditional approach Most conventional cameras use Rolling Shutter sensors. In this architecture, the sensor captures an image line by line rather than exposing all pixels simultaneously. Although suitable for general video surveillance, rolling shutter sensors can introduce several artifacts when imaging fast-moving objects including motion blur, skewed or stretched license plates, distorted vehicle shapes, reduced OCR accuracy, difficulty in multi-lane traffic scenarios and so on. These limitations become more pronounced when vehicles are moving at high speeds or when illumination conditions are challenging. How Global Shutter works Unlike rolling shutter technology, a Global Shutter sensor exposes every pixel simultaneously. The entire image frame is captured at precisely the same instant. This means the light reaches all pixels at the same time; the complete frame is exposed simultaneously; and the image is read out after exposure. Because there is no sequential scanning, moving objects are captured without distortion. The result is a crisp and geometrically accurate image, even when vehicles are travelling at high speed. Why Global Shutter matters for ANPR Superior Image Integrity Global Shutter eliminates the motion artifacts commonly associated with rolling shutter sensors. License plates remain sharp and readable, improving recognition reliability. Enhanced OCR Performance Clear images directly translate into higher Optical Character Recognition (OCR) accuracy. This reduces missed reads and minimizes the need for manual intervention. Better High-Speed Capture Applications such as highways, expressways, toll plazas, and city traffic management require dependable performance at higher vehicle speeds. Global Shutter ensures that plate details remain intact under these demanding conditions. Multi-Lane Performance Modern transportation infrastructure increasingly requires cameras to monitor multiple lanes simultaneously. Global Shutter provides distortion-free imaging across the entire field of view, improving recognition consistency. Reduced False Reads By preserving image geometry, Global Shutter helps minimize errors caused by elongated or skewed characters, leading to more reliable database matching and event generation. Global Shutter and edge AI processing Modern ANPR systems increasingly leverage edge-based processing, where recognition occurs directly within the camera before metadata is transmitted to the VMS or traffic management platform. Global Shutter sensors improve the accuracy of these edge analytics by ensuring consistently sharp image acquisition. As AI capabilities continue to move closer to the edge, image quality becomes even more critical. By delivering distortion-free images, Global Shutter technology enables more reliable license plate recognition, vehicle classification, and traffic analytics at the point of capture, reducing server workloads and improving real-time decision-making. Beyond License Plate Recognition In addition to license plate recognition, Global Shutter technology enhances vehicle make and model identification, vehicle colour analytics, lane monitoring, traffic counting, and incident detection applications. The advantages of Global Shutter extend beyond ANPR. The technology is equally beneficial for traffic monitoring, enforcement applications, access control systems, logistics and fleet management, smart parking, industrial automation, machine vision applications. As cities become smarter and transportation systems increasingly automated, image integrity will become just as important as resolution and frame rate. Rolling Shutter vs Global Shutter Feature Rolling Shutter Global Shutter Exposure Method Sequential Simultaneous Motion Distortion Present Eliminated High-Speed Vehicle Capture Moderate Excellent OCR Accuracy Variable Higher Image Geometry Can be skewed Preserved Multi-Lane ANPR Limited Superior Intelligent Transportation Applications Suitable Ideal A leadership perspective From an industry standpoint, the future of vehicle intelligence depends not only on AI but also on the quality of the data being captured. As transportation systems become increasingly intelligent, image integrity becomes just as important as analytics. Global Shutter technology addresses one of the most fundamental challenges in vehicle identification – capturing fast-moving objects with absolute accuracy. We believe this technology will play a pivotal role in the next generation of ANPR and intelligent traffic solutions. The road ahead As smart cities, intelligent transportation systems, and automated security infrastructures continue to evolve, the demand for precise and reliable vehicle identification will only increase. Global Shutter technology represents a significant step forward in this evolution. By eliminating motion artifacts and preserving image integrity, it enables ANPR systems to achieve higher accuracy, greater reliability, and improved operational efficiency. In the coming years, the success of intelligent transportation applications will not simply depend on recognizing license plates – it will depend on capturing them correctly in the first place.