USA
USA
In today’s world of volatility toward critical infrastructure, security threats to key facilities are going far beyond the common methods of attempted breaching of secure entry points. There has been a rise in vehicle-based attacks that include hidden explosives and deadly weapon contraband. Because accessibility and mobility of vehicles is easily achieved by those attempting to do physical harm or attempted breaches to secure facilities, cars and trucks are the powerful tools to poise these types of threats. However, most often searching the underside of a vehicle is ignored, allowing a threat to bypass security points without detection.
Hence, an undercarriage of a vehicle is one of the most overlooked areas for physical security. Security personnel often check the trunks, inspect drivers and cargo but the underside of a vehicle still remains a blindspot to them. Explosives, weapons and even tracking devices can be hidden from the human eye beneath the vehicle. Manual inspection is a time consuming and inconsistent process and is highly vulnerable to inspect especially with high traffic and high pressure environments.
A current industry trend is to incorporate evolving technology artificial intelligence, machine learning and automated inspection systems as a part of facilities security and perimeter defense arsenal.
This trend in growth in the evolving threat environment means that many of the traditional security measures are no longer effective in certain areas. For example, Intelligent Automated Inspection Systems (IAIS) have become vital to the protection of critical infrastructure facilities due to their ability to quickly and accurately detect security threats without affecting day-to-day operations. CPAS (Computer-Assisted Security Processes) solutions that leverage Artificial Intelligence (AI) can meet these needs and are being rapidly deployed globally, as they combine high-resolution imaging of vehicles under tow with the ability to analyse and detect anomalies in real-time.
The type and scope of security threats encountered by large facility operators on a regular basis can be extremely complex. Large facilities accommodate large numbers of employees, contractors and vendors who come and go, creating a great deal of opportunity for security breaches. There are also constant changes in the manner in which security breaches are perpetrated, known as ‘Zero-Day’ exploits; these can occur daily and may be detected by traditional security systems; however, these systems may sometimes not be as effective at detecting them.
To maintain high levels of security while not interfering with critical operational functions creates high levels of operational pressure on the facilities. In conjunction with establishing these high levels of security, there are regulations governing compliance, auditing processes, and the requirements for establishing accountability for performing inspections that require accurate and documented inspection procedures, which can withstand the scrutiny of regulatory agencies.
CPAS AI, which is based on the Area Scanner (CPAS), is the AI-based advanced Under Vehicle Inspection System (UVIS) that helps detect threats that may be hidden underneath vehicles entering secure sites. The use of CPAS AI is critical for HIGH security sites, because the potential for an incident from a missed threat is catastrophic.
Surveillance involves recording or displaying video so that it may be reviewed later by a person for modular review of a threat. Intelligent Inspection is much different; computer vision and machine learning algorithms are used to actively inspect and evaluate the under-notice of a vehicle against comparison images stored in the UVIS, and artificially flag possible threats based on those images.
Progress in CPAS technology involves the use of computer vision for color and detail to evaluate the under-vehicle, and the use of machine learning to provide increasingly accurate threat-detection by learning from previous threat patterns and anomalies. Traditional and rule-based UVIS systems are not acceptable anymore, as they rely on fixed rules and manual review of the under-vehicle inspection by an operator.
In critical infrastructure environments, security systems must operate at high speed, handle large volumes, and deliver consistent results without failure. CPAS AI is designed specifically for these demands, combining advanced processing capabilities with operational resilience.
Edge AI processing enables instant decision-making at the point of inspection. Instead of sending data to remote servers for analysis, CPAS processes high-resolution under-vehicle images locally in real time. High-throughput inspection is equally important too. Power plants, refineries, transport hubs, and government complexes often manage hundreds or thousands of vehicle movements daily.
Reliability is non-negotiable in environments that operate around the clock. CPAS AI is built for 24/7 deployment in harsh and high-pressure conditions. Unlike manual inspection teams, the system does not tire, lose focus, or vary in performance during long shifts. It delivers consistent, standardized inspections every time reducing human error and ensuring uniform threat detection regardless of workload or time of day. By combining speed, scalability, and unwavering reliability, CPAS AI provides critical infrastructure operators with a dependable security layer that keeps pace with operational demands while strengthening overall risk mitigation.
Commport Area Scanner (CPAS) requirements include zero-failure tolerance in critical infrastructure. It has high availability, redundancy, and resilience with explainable AI for operator trust. It offers an effortless secure data handling and audit trails & integration with command & control systems.
Commport Technologies delivers CPAS AI security solutions purpose-built for protecting critical infrastructure. Its UVIS AI system is specifically engineered for high-risk environments such as energy plants, government facilities, transport hubs, and defense zones, where precision and reliability are non-negotiable. Powered by defense-grade imaging and advanced AI analytics, the system detects under-vehicle anomalies with exceptional clarity and accuracy.
With edge-based AI processing, Commport’s UVIS operates effectively even in disconnected or high-security environments where cloud dependency is not feasible. The platform provides explainable alerts and intelligent decision support, enabling operators to understand why a vehicle has been flagged; improving response speed and reducing uncertainty.
The solution integrates seamlessly with access control systems, License Plate Recognition (LPR) and perimeter security setups, central command and control platforms, and offers API compatibility with all major Video Management Systems (VMS). This ensures a unified, scalable, and future-ready security ecosystem tailored for mission-critical infrastructure.
It offers faster threat detection, reduced false positives, lower operational costs, improved compliance and audit readiness and scalable deployments across multiple sites.
As security threats continue to evolve, CPAS AI is no longer an option for infrastructures and facilities. It has become a critical defense that actively deters infiltration, smuggling, and security breaches. Manual inspection processes are inherently vulnerable to fatigue and oversight, increasing the risk of missed threats, whereas Commport’s CPAS AI represents a step-change in capability by delivering faster, more reliable, and intelligence-driven detection at scale.
