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Research On The Application Of Computer Vision In Logistics Warehouse Security Management

Posted on:2020-10-21Degree:MasterType:Thesis
Country:ChinaCandidate:W LiuFull Text:PDF
GTID:2428330572997514Subject:Project management
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Logistics and storage security is a basic condition for the survival of an enterprise.With the development of modem logistics industry and computer technology,learning intelligent security management is one of the important means to effectively guarantee the storage security.The development and application of intelligent video monitoring system has a broad prospect.Warehousing security management is the business activity of planning,coordinating,organizing and controlling warehousing systematically and scientifically in the logistics system,which plays an important role in the logistics and warehousing.In order to improve the level of logistics storage security management,it is necessary to use intelligent video monitoring system,computer vision technology,security simulation technology to achieve storage security management.Computer vision technology can extract and analyze video monitoring information,detect and track suspicious behaviors within the scope of warehouse monitoring,obtain information in real time,and automatically alarm the system when abnormal behaviors are found,so as to realize intelligent and efficient security management of warehouse.This paper takes the logistics warehouse of huainan Aiyifang e-commerce co.LTD as the research object,and mainly detects and tracks the moving objects in the monitored video area of the warehouse in real time,so as to discover abnormal behaviors in time.There are two main research contents in this paper:first,by combining the intelligent monitoring video system,the information of video is extracted,the gaussian mixture model is established for the background of the moving target and updated in real time,and the moving target of each frame is acquired through the difference between foreground and background to realize the detection of the moving target.Secondly,the particle filter tracking algorithn based on markov random field is studied.In order to deal with the tracking problem under more complex and changeable background environment,the multi-subblock and multi-feature target tracking algorithm is adopted to improve the robustness of shielding and attitude change.Finally,the logistics warehouse design and the implementation of intelligent video surveillance system development,the gaussian mixture model and markov random field in logistics warehouse safety monitoring management application,realize real-time detection and tracking of moving targets in warehouse,the use of combining VS2010 OPEN CV in simulation experiment,detect the abnormal behavior in warehouses monitored area,and send the alarm information,and to take timely measures to reduce the storage and security risks.Figure 33 table 5 reference 60...
Keywords/Search Tags:warehouse security management, gaussian mixture model, markov random airport, intelligent video monitoring system
PDF Full Text Request
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