Saudi
Saudi
The CPAS ML/MG Network Multi-Lane Systems represent the next generation of under vehicle inspection technology designed for high-traffic security environments across Saudi Arabia. Powered by advanced imaging and machine learning capabilities, these systems enable fast, reliable, and centralized vehicle inspections across multiple lanes, making them ideal for airports, border crossings, government facilities, industrial sites, and critical infrastructure where maintaining the highest security standards without disrupting operational flow is essential.
Intended for simultaneous inspections over multiple lanes to maximize traffic throughput at borders, airports, seaports, and sites with critical infrastructure.
All inspection lanes can be monitored, analyzed, and managed from a single control hub, allowing faster decision making and increased operational efficiencies.
Utilizing AI-driven image processing the system provides high definition undercarriage imagery in addition to instantaneous detection for abnormal substances, hidden items or modifications.
The CPAS ML/MG system is tailored for scalability. Capable of deployment in anything from a few lanes to a large-scale system, CPAS gives the customer the ability to remain adaptive to changing security requirements with no need for critical infrastructure modification.
Trusted by governments, military installations, border security agencies, airports, and critical infrastructure operators across Saudi Arabia and worldwide, the CPAS ML/MG Network Multi-Lane System has established itself as a leading solution for high-volume vehicle inspection environments. Its proven performance, advanced imaging capabilities, and centralized multi-lane management make it the preferred choice for organizations seeking reliable, intelligent, and scalable security screening solutions.
The CPAS ML/MG System is highly scalable and can support anything from a few inspection lanes to large-scale multi-lane deployments, making it ideal for major border crossings, airports, seaports, and critical infrastructure projects across Saudi Arabia.
Yes. The system utilizes advanced machine learning algorithms to automatically detect anomalies, identify concealed objects, and recognize deviations from normal vehicle undercarriage patterns, enabling faster and more accurate threat detection in high-security environments.
Absolutely. The CPAS ML/MG System is designed to seamlessly integrate with existing security infrastructure in Saudi Arabia, including command and control centers, access control systems, CCTV networks, LPR systems, and other centralized security platforms.
Yes. The system is engineered to operate reliably in harsh environmental conditions, including extreme heat, dust, and challenging outdoor environments commonly experienced across Saudi Arabia, ensuring consistent inspection accuracy and operational performance.
The system is widely used by government agencies, military and defense organizations, border security authorities, airport operators, oil & gas facilities, industrial sites, and other critical infrastructure operators requiring advanced multi-lane vehicle inspection capabilities.
