?It builds a passenger inspection big data pool by integrating intelligent monitoring equipment, service system, video monitoring system, face recognition system, other monitoring resources on the passenger inspection sites, and whole-process customs clearance data of passengers, with help of technologies including cloud computing, big data, AI, IoT, etc.?

By connecting with intelligent monitoring equipment on passenger inspection sites, such as X-ray machines, infrared temperature measurement, and equipment for detection of microclimate, nuclear radiation, biological factors, and chemical toxic gases, it realizes intelligent perception, centralized monitoring and control, and intelligent IoT equipment with uniform data interfaces

?It can judge inspection risks in real time, perceive, warn and analyze situations, make decisions intelligently, command remotely and display luggage items and quarantine inspection data comprehensively in a visualized way, providing a support for the frontline monitoring and commanding through intelligent recognition and 24-hour fine management.