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基于ARM和Linux的嵌入式智能家居網(wǎng)絡(luò)視頻監(jiān)控

發(fā)布時(shí)間:2018-10-16 17:01
【摘要】:隨著電子信息技術(shù)以及網(wǎng)絡(luò)技術(shù)的迅猛發(fā)展,科學(xué)技術(shù)對(duì)人們的生活的影響也越來(lái)越重要,智能家居就是科學(xué)技術(shù)發(fā)展的一個(gè)產(chǎn)物,讓人們的生活更加幸福。智能家居中最主要的安防系統(tǒng)也越來(lái)越受到人們的青睞。視頻監(jiān)控作為智能家居中安防系統(tǒng)的最重要組成部分,越來(lái)越多的進(jìn)入到人們的生活當(dāng)中。嵌入式視頻監(jiān)控以其穩(wěn)定的性能,小巧的體積、親民的價(jià)格等優(yōu)勢(shì),成為了智能家居視頻監(jiān)控領(lǐng)域的主力軍。本設(shè)計(jì)采用了基于ARM9架構(gòu)的S3C2440A高性能低功耗處理器作為本系統(tǒng)的嵌入式處理器。使用USB攝像頭來(lái)采集視頻數(shù)據(jù),在系統(tǒng)中移植了Web服務(wù)器,使得用戶可以遠(yuǎn)程通過(guò)Web瀏覽器實(shí)現(xiàn)對(duì)攝像頭監(jiān)控畫(huà)面的查看。在創(chuàng)新方面,在本系統(tǒng)中加入了對(duì)運(yùn)動(dòng)物體的檢測(cè),并且基于傳統(tǒng)高斯混合模型進(jìn)行改進(jìn),使得對(duì)運(yùn)動(dòng)物體檢測(cè)更加快速精準(zhǔn),同時(shí)又加入了GPRS報(bào)警系統(tǒng),當(dāng)檢測(cè)到有運(yùn)動(dòng)物體時(shí),系統(tǒng)自動(dòng)向用戶發(fā)送報(bào)警信息,使得監(jiān)控系統(tǒng)更加的便宜,智能和便捷。本文首先對(duì)智能家居、視頻監(jiān)控和嵌入式系統(tǒng)做了介紹,根據(jù)視頻監(jiān)控的發(fā)展現(xiàn)狀,確定了本文的總體功能設(shè)計(jì),分析介紹了當(dāng)前主流嵌入式處理器,在此基礎(chǔ)上選擇ARM9架構(gòu)的S3C2440芯片作為嵌入式的硬件處理器,并結(jié)合外圍的存儲(chǔ)部分、網(wǎng)絡(luò)部分、GPRS報(bào)警部分等組成了本系統(tǒng)的硬件平臺(tái)。然后對(duì)當(dāng)前主流的嵌入式系統(tǒng)進(jìn)行了介紹,根據(jù)開(kāi)發(fā)的難易程度和成本因素,選擇了Linux系統(tǒng)作為本設(shè)計(jì)的嵌入式操作系統(tǒng),并在硬件平臺(tái)上對(duì)Bootloader、Linux內(nèi)核和根文件系統(tǒng)等進(jìn)行了編譯和移植。在對(duì)運(yùn)動(dòng)物體的檢測(cè)中,在對(duì)光流法、幀間差分法、背景差分法三種檢測(cè)技術(shù)的比較后選擇了背景差分法,通過(guò)改進(jìn)后的高斯混合模型實(shí)現(xiàn)了對(duì)運(yùn)動(dòng)目標(biāo)的檢測(cè)。最后本系統(tǒng)采用Boa服務(wù)器,通過(guò)B/S模式實(shí)現(xiàn)了讓用戶可以遠(yuǎn)程監(jiān)控的目的。當(dāng)系統(tǒng)啟動(dòng)后,用戶無(wú)論在什么地方,都可以在一臺(tái)可以聯(lián)網(wǎng)的計(jì)算機(jī)上,通過(guò)Web瀏覽器登錄系統(tǒng)服務(wù)器,查看視頻監(jiān)控的畫(huà)面,當(dāng)系統(tǒng)檢測(cè)到有運(yùn)動(dòng)物體時(shí),會(huì)自動(dòng)發(fā)送短信給用戶并提醒用戶查看監(jiān)控視頻。
[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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