基于ARM和Linux的嵌入式智能家居网络视频监控
发布时间：2018-10-16 17:01
【摘要】：随着电子信息技术以及网络技术的迅猛发展,科学技术对人们的生活的影响也越来越重要,智能家居就是科学技术发展的一个产物,让人们的生活更加幸福。智能家居中最主要的安防系统也越来越受到人们的青睐。视频监控作为智能家居中安防系统的最重要组成部分,越来越多的进入到人们的生活当中。嵌入式视频监控以其稳定的性能,小巧的体积、亲民的价格等优势,成为了智能家居视频监控领域的主力军。本设计采用了基于ARM9架构的S3C2440A高性能低功耗处理器作为本系统的嵌入式处理器。使用USB摄像头来采集视频数据,在系统中移植了Web服务器,使得用户可以远程通过Web浏览器实现对摄像头监控画面的查看。在创新方面,在本系统中加入了对运动物体的检测,并且基于传统高斯混合模型进行改进,使得对运动物体检测更加快速精准,同时又加入了GPRS报警系统,当检测到有运动物体时,系统自动向用户发送报警信息,使得监控系统更加的便宜,智能和便捷。本文首先对智能家居、视频监控和嵌入式系统做了介绍,根据视频监控的发展现状,确定了本文的总体功能设计,分析介绍了当前主流嵌入式处理器,在此基础上选择ARM9架构的S3C2440芯片作为嵌入式的硬件处理器,并结合外围的存储部分、网络部分、GPRS报警部分等组成了本系统的硬件平台。然后对当前主流的嵌入式系统进行了介绍,根据开发的难易程度和成本因素,选择了Linux系统作为本设计的嵌入式操作系统,并在硬件平台上对Bootloader、Linux内核和根文件系统等进行了编译和移植。在对运动物体的检测中,在对光流法、帧间差分法、背景差分法三种检测技术的比较后选择了背景差分法,通过改进后的高斯混合模型实现了对运动目标的检测。最后本系统采用Boa服务器,通过B/S模式实现了让用户可以远程监控的目的。当系统启动后,用户无论在什么地方,都可以在一台可以联网的计算机上,通过Web浏览器登录系统服务器,查看视频监控的画面,当系统检测到有运动物体时,会自动发送短信给用户并提醒用户查看监控视频。
[Abstract]:With the rapid development of electronic information technology and network technology, the impact of science and technology on people's lives is becoming more and more important. Smart home is a product of the development of science and technology, making people's lives more happy. The most important security system in smart home is more and more popular. As the most important part of security system in smart home, video surveillance is more and more involved in people's life. Embedded video surveillance has become the main force in the field of intelligent home video surveillance because of its stable performance, small volume, pro-people price and other advantages. This design adopts S3C2440A high performance low power processor based on ARM9 architecture as the embedded processor of the system. The USB camera is used to collect video data, and the Web server is transplanted in the system, which enables the user to view the monitor picture of the camera remotely through the Web browser. In the aspect of innovation, the detection of moving objects is added to the system, and the traditional Gao Si hybrid model is improved to make the detection of moving objects more rapid and accurate. At the same time, the GPRS alarm system is added. When a moving object is detected, the system automatically sends an alarm message to the user, which makes the monitoring system cheaper, more intelligent and more convenient. This paper first introduces the smart home, video surveillance and embedded system, according to the development of video surveillance, determines the overall functional design of this paper, analyzes and introduces the current mainstream embedded processor, On this basis, the ARM9 S3C2440 chip is chosen as the embedded hardware processor, and the hardware platform of the system is composed of the peripheral storage part, the network part, the GPRS alarm part and so on. Then the mainstream embedded system is introduced. According to the difficulty and cost factors of development, the Linux system is selected as the embedded operating system. The Bootloader,Linux kernel and root file system are compiled and transplanted on the hardware platform. In the detection of moving objects, the background difference method is chosen after the comparison of optical flow method, inter-frame difference method and background difference method, and the moving target detection is realized through the improved Gao Si mixed model. Finally, the system uses Boa server, through the B / S mode to achieve the purpose of remote monitoring users. When the system is started, the user can log in to the system server through a Web browser on a computer that can be connected to the Internet, and view the video surveillance screen. When the system detects a moving object, Will automatically send text messages to users and remind them to view surveillance videos.
【学位授予单位】：天津理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN948.6
[Abstract]:With the rapid development of electronic information technology and network technology, the impact of science and technology on people's lives is becoming more and more important. Smart home is a product of the development of science and technology, making people's lives more happy. The most important security system in smart home is more and more popular. As the most important part of security system in smart home, video surveillance is more and more involved in people's life. Embedded video surveillance has become the main force in the field of intelligent home video surveillance because of its stable performance, small volume, pro-people price and other advantages. This design adopts S3C2440A high performance low power processor based on ARM9 architecture as the embedded processor of the system. The USB camera is used to collect video data, and the Web server is transplanted in the system, which enables the user to view the monitor picture of the camera remotely through the Web browser. In the aspect of innovation, the detection of moving objects is added to the system, and the traditional Gao Si hybrid model is improved to make the detection of moving objects more rapid and accurate. At the same time, the GPRS alarm system is added. When a moving object is detected, the system automatically sends an alarm message to the user, which makes the monitoring system cheaper, more intelligent and more convenient. This paper first introduces the smart home, video surveillance and embedded system, according to the development of video surveillance, determines the overall functional design of this paper, analyzes and introduces the current mainstream embedded processor, On this basis, the ARM9 S3C2440 chip is chosen as the embedded hardware processor, and the hardware platform of the system is composed of the peripheral storage part, the network part, the GPRS alarm part and so on. Then the mainstream embedded system is introduced. According to the difficulty and cost factors of development, the Linux system is selected as the embedded operating system. The Bootloader,Linux kernel and root file system are compiled and transplanted on the hardware platform. In the detection of moving objects, the background difference method is chosen after the comparison of optical flow method, inter-frame difference method and background difference method, and the moving target detection is realized through the improved Gao Si mixed model. Finally, the system uses Boa server, through the B / S mode to achieve the purpose of remote monitoring users. When the system is started, the user can log in to the system server through a Web browser on a computer that can be connected to the Internet, and view the video surveillance screen. When the system detects a moving object, Will automatically send text messages to users and remind them to view surveillance videos.
【学位授予单位】：天津理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN948.6
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