基于ARM和Linux的嵌入式智能家居網(wǎng)絡(luò)視頻監(jiān)控
[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.
【學(xué)位授予單位】:天津理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TN948.6
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