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.
Proven and trusted by governments, military bases, border security organizations and critical facilities around the globe, CPAS ML/MG is consistently seen as the best in multi-lane inspection solutions.
The system is entirely scalable from a few lanes to large scale multi-lane applications.
Yes. Use of machine learning algorithms will uniquely support auto-detection of anomalies, identifying concealed objects, or more broadly, deviations from normal precisely and quickly.
Yes, definitely. The CPAS ML/MG system is made to be incorporated into, and controlled from a centralized network.
Yes. The durable system, combined with state-of-the-art imaging systems, maximise the chance of accuracy performance for all environments.
A complete array of applications exist, primarily being utilized by most government agencies, border security forces, airport, and critical infrastructure operators.