Intelligent method of customs inspection platform based on machine vision

Abstract

In the existing customs inspection, the inspection of outbound goods includes recording the arrival time of containers, opening and closing of containers, and the departure time of containers. This method takes a lot of time to manually record the relevant information of each container and manually input it to the server. This paper presents an intelligent method of customs inspection platform based on machine vision, through the analysis of collected video information processing, the inspection of each node in the process of time, behavior, such as digital processing, database, automatically record each inspection position of the box, opening time, sorting, inspection, packing, closing time, leaving time, behavior, compliance and other information. It greatly improves the efficiency and safety of container inspection and avoids the random and uncertain behavior of manual record. This system can automatically record the dynamic changes of containers in the storage yard in real time without anyone participating, improve the digitization and accuracy of the information of container state changes, reduce the working intensity of customs personnel, and reduce the working risks of personnel in the storage yard.