The Design And Implementation Of Prison Monitoring System Based On The Intelligent Video Processing Technology

In artificial intelligence technology and embedded technology continues to developtoday, pattern recognition technology has made great progress, but also makes peoplehave higher requirements of video surveillance. The intelligent recognitiontechnology based video surveillance applications in embedded products areincreasingly being used. Specific to prison security field, its video surveillanceproducts is proposed demand real-time monitoring and early warning. In this demandah incentive system, and to be better able to improve prison security, and timelyabnormal behavior was monitored objects and real-time warning, the paper focuseson the design and implementation of prison-based surveillance system videoprocessing technology. In this paper, the system design and implementation process,used in the core chip S3C2410, ARM9development board basis in both a domesticcompany developed for a multi-level real-time monitoring and early warning networkof intelligent monitoring system for development. The system is embedded real-timeWeb video surveillance equipment for the realization of the core, based on acombination of network communication technology and image recognition technology,intelligent analysis to achieve a local video warning the center, as well as regional,municipal and provincial monitoring center as the backbone of multi-level network.Thus better able to meet the special prison security requirements for security productsindustry.In this system, the microprocessor uses S3C2410, and embedded Linux operatingsystem mainly uses the system, thus saving development and use of effective cost of the system. Wherein the system further comprises a software portion of the cameradriver and acquisition. The acquisition process can be divided into a single frame/multiframe image acquisition and capture the video stream.On the basis of hardware and software environment to build on, but also real-timemonitoring system based on C/S mode of online video, online real-time imageanalysis and multi-level intelligent automatic alarm function is described in detail. Inaddition, through in-depth study of the content of the text, the text of a variety ofembedded programming technology, multi-threaded programming, imagesegmentation technology, in-depth analysis. Meanwhile, also on the embeddedsystems software development process as well as remote debugging of embeddedLinux are analyzed and digging to lay the foundation for developing and debuggingthe system, effectively shortening the development cycle of the system.