Research on the Accurate Association and Interception Supervision System of"Person"and"Item"in Customs Travel Inspection
Based on the analysis of the business model and the current status of information technology in customs passenger clearance,as well as the exploration and implementation of the association between"person"and"item"in customs travel inspection,risk interception,inspection and disposal,this article proposes the application of convolutional neural networks(CNN)to establish an AI information chain.This approach integrates technologies such as situational awareness,intelligent recognition,data fusion,risk warning and transmission disposal.Through deep learning and big data analysis,a new method is developed for the intelligent association and risk assessment of passenger information.Additionally,this study have designed a complete system for the association of"person"and"item",control interception,inspection supervision,and conducted practical verification,which has helped achieved accurate interaction and interception of"person"and"item",resolved the bottleneck that restricts the development of intelligent travel inspection,and achieved"unconscious clearance,automatic(intelligent)supervision,no disturbance,and ubiquitous monitoring".
customs travel inspectionAI information chainthe association between"person"and"item"intelligent interception supervisionunconscious clearance
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