Research On Intelligent Monitoring And Management System Of Logistics Warehousing Security Based On Computer Vision

With the rapid development of computer technology and artificial intelligence technology,modern logistics industry is also more inclined to intelligent management.In the aspect of logistics warehousing security,combined with computer vision technology,an intelligent monitoring and management system for logistics warehousing security is developed and designed,which can warn and deal with the unsafe behavior of logistics warehousing personnel in an effective and timely manner.It has important practical significance to improve the level of logistics warehousing security management.This paper mainly studies the abnormal target detection and tracking algorithm and unsafe behavior identification algorithm in logistics warehousing.In order to solve the problem that the traditional target tracking algorithm can not track the target accurately after occlusion,a hybrid tracking algorithm based on differential YOLO detection and Camshift is proposed.A target detection model based on YOLO network structure is established,and the target location is determined and the target tracking window is initialized by using YOLO algorithm.According to the position information of the target,the Camshift algorithm is used to process the subsequent video frames and update the target of each frame,so that the position of the tracking window can be constantly adjusted to adapt to the motion of the target.Secondly,based on the hybrid tracking algorithm of YOLO detection and Camshift,the human bone sequence is extracted by combining OpenPose algorithm.Take the human joint position as the original feature,preprocess the feature,manually design the feature from the original joint position,and then extract the feature to distinguish the action type of the person falling.Experiments are carried out on the collected video clips of logistics warehousing enterprises,and the experimental results are compared on the video data set.The experimental results show that the fusion algorithm has good robustness and practical application value.In order to realize the practical application of the fusion algorithm research in the logistics warehousing enterprise environment,the logistics warehousing security intelligent monitoring and management system is constructed,and the proposed algorithm is applied to the system.The functional structure of the system is designed,including abnormal behavior management,monitoring information management,system setting,comprehensive statistical query and other functions,to achieve the logistics warehousing surveillance video data collection,analysis and processing.The system has the characteristics of intelligence and real-time,and can automatically analyze and warn the abnormal personnel and abnormal behavior in logistics warehousing,which can greatly improve the security of logistics warehousing personnel and improve the security management level of logistics warehousing enterprises.The system is conducive to real-time monitoring data collection of logistics warehousing enterprises;conducive to continuous dynamic monitoring;conducive to reducing the risk of security accidents of logistics warehousing enterprises and improving security efficiency.Therefore,it has good economic and social benefits after popularization and application.Figure 19 table 4 reference 71...