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Research And Implementation Of Intelligent Video Surveillance Platform Based On Cloud Computing

Posted on:2018-12-17Degree:MasterType:Thesis
Country:ChinaCandidate:G Y XuFull Text:PDF
GTID:2348330533955385Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of network communication technology,network access speed rising,so that the network video surveillance instead of the traditional analog-digital video surveillance has been rapid development.Today's network video monitoring is mostly based on client / server(C / S)architecture,client deployment difficulties,server-side pressure,limited video streaming,poor system scalability,single functionality,video Of the monitoring or rely on human surveillance to judge,low reliability.The system adopts the browser / server(B / S)structure,which eliminates the trouble of deploying the dedicated client program on the user's computer,so that the upgrade of the system function can all be done on the server side,The client to make any changes,more importantly,with the help of the cloud platform,the client is not subject to user hardware or software platform restrictions,only need access to a browser with the Internet device can be.The server uses a distributed architecture design that increases the scalability of the service,the responsiveness of the system at high concurrent requests,and the stability of the system.The server receives the video stream sent by the camera,analyzes the video stream and analyzes it to the background video analysis process.If the user sets the event,the server immediately sends the warning and real-time video to the user to realize the unattended 24 hours monitoring.Compared with the previous image processing mode,the system has completed video image recognition on the server side rather than processing at each video source,which reduces the dependence on the processing performance of the video source.This topic completes the design of the database "document" data model of the system platform,the construction of the video stream server and the design and development of the platform background server application software.Through the server build test to confirm the system to achieve a predetermined goal.
Keywords/Search Tags:Cloud computing, Intelligent monitoring, Image processing, OpenCV, JavaEE
PDF Full Text Request
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