The system adopts multiple spectrum detection technology such as nuclear radiation, X-ray inspection and uses advanced deep learning target detection and recognition algorithm to analyze prohibited goods in luggage and package intelligently for the purpose of reducing worker’s workload and improve abnormal luggage or package detection efficiency. 

This system has realized interfacing with customs passenger inspection risk pre-control platform. Detection data will be transmitted to this platform in real time. By in-depth analyzing and digging of association between detection data, it displays statistical result of key clues such as time period, flight type and nationality from multiple perspectives and performs predicting analysis on luggage inspection risks.