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Design And Implementation Of Video Surveillance System In Smart Home

Posted on:2009-08-22Degree:MasterType:Thesis
Country:ChinaCandidate:L LinFull Text:PDF
GTID:2178360272986731Subject:Computer system architecture
Abstract/Summary:PDF Full Text Request
Along with the enhancement of living standard, the quality of life has been set a higher request. Household equipments translate from simple use to additional multi-functional use now. Smart home technology becomes the hotspot in recent years. As a part of smart home, video surveillance play an important role in security system.Be different from traditional video surveillance system, smart home video surveillance system has the following characteristics:①Miniaturization: With the restrictions of the home enviroment, video servers should be micro, nice and flexible.②Universality: Ordinary PC and digital camera don't have high performance, so design and development should be based on common equipments.③Wireless: Data should be transmitted through wireless network so that the environment cannot be damaged by wiring.④Intelligentize: System can provide intrusion auto-detection.According to these features, combining embedded development technology with Internet technology and digital image processing technology; we design and complete an intelligent video surveillance system. Video surveillance part is based on C/S structure, intrusion auto-detection part adapts PC as Monitor Centre, so the system can provide remote real-time monitoring and intrusion auto-detection.Server application runs under the embedded Linux system platform which adopts StrongARM kernel Intel XScale PXA255 as its CPU. Firstly, build the development evironment of embedded system and realize USB digital camera driver under embedded Linux. Secondly, modify, optimize and repot the server applications, also develop a friendly interface. Monitor centre, as a client, collect and save video, provide remote monitor and intrusion auto-detection. Adatping motion detection technology, according to the interference of indoor illumination and other special factors, this paper adopts improved temporal difference method by blocking the entire image to detect intrusion. In the simulation experiment, the result satisfies the expectation.
Keywords/Search Tags:Smart Home, Video Surveillance, Intrusion Auto-detection
PDF Full Text Request
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