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基于Android平臺的家庭監(jiān)控系統(tǒng)設計

發(fā)布時間:2019-03-03 14:09
【摘要】:近幾年,隨著移動無線網(wǎng)絡技術的日漸成熟,以及智能手機的發(fā)展普及,移動互聯(lián)網(wǎng)的發(fā)展浪潮已經(jīng)到來。伴隨著相關技術的發(fā)展成熟,監(jiān)控技術從傳統(tǒng)的有線網(wǎng)絡監(jiān)控發(fā)展到移動無線監(jiān)控已經(jīng)成為了可能。移動監(jiān)控技術以其可移動,并且省去了讓人厭煩的線纜等諸多優(yōu)點,使得用戶可以隨時隨地利用手機終端遠程查看被監(jiān)控對象的即時信息,因此必定更受市場歡迎也更具發(fā)展前景。本課題是在實驗室項目老人話機上研究實現(xiàn)視頻監(jiān)控的功能,使得用戶可以通過Android終端設備聯(lián)網(wǎng)遠程查看住宅情況,并且及時獲取家中老人的實時動態(tài)。本文研究了網(wǎng)絡視頻監(jiān)控技術的發(fā)展趨勢,結合手機終端的硬件資源特性以及無線網(wǎng)絡的網(wǎng)絡性能,確立了本監(jiān)控系統(tǒng)的整體設計方案。這其中主要包括利用H.264編碼壓縮來節(jié)省傳輸帶寬和流量,利用RTP實時傳輸協(xié)議來保障視頻數(shù)據(jù)的發(fā)送傳輸,在視頻播放時,通過RTSP流媒體協(xié)議對監(jiān)控視頻的播放進行控制。在確立了實現(xiàn)方案后,將本系統(tǒng)分為監(jiān)控服務器端和客戶端兩部分來編程實現(xiàn)。服務器端程序負責完成視頻的采集、H.264壓縮編碼和RTP封裝傳輸?shù)墓ぷ?針對移動終端設備存儲空間有限的特點,服務器端還對視頻圖像數(shù)據(jù)進行了處理和研究,論文通過移植Open CV庫實現(xiàn)了人臉檢測的功能,當檢測到有人入侵時截圖保存,實現(xiàn)對關鍵信息的存儲,降低了對移動終端設備存儲性能的要求。監(jiān)控系統(tǒng)的客戶端程序則主要實現(xiàn)對視頻數(shù)據(jù)包的接收、H.264解碼恢復和視頻播放的功能,在本文中H.264的視頻解碼功能是通過移植FFmpeg庫來實現(xiàn)的。為了驗證程序功能,將本監(jiān)控系統(tǒng)服務器端程序部署到實驗室開發(fā)板上,客戶端程序部署在Android智能手機上,在校園無線局域網(wǎng)環(huán)境下進行了實地測試。通過實際的測試驗證,該監(jiān)控系統(tǒng)的視頻傳輸功能工作正常,可以滿足監(jiān)控的基本需求,視頻圖像處理中的人臉檢測模塊可以實現(xiàn)檢測入侵并截圖留存的功能。本文的研究成果可以用在實驗室的老人話機上以進一步豐富產(chǎn)品的功能。
[Abstract]:In recent years, with the maturity of mobile wireless network technology and the development and popularization of smart phones, the development of mobile Internet has arrived. With the development of related technologies, it has become possible to develop monitoring technology from traditional wired network monitoring to mobile wireless monitoring. Mobile monitoring technology, with its mobile, and eliminates the boring cable and many other advantages, so that users can use the mobile phone terminals to view the real-time information of the monitored object remotely, anytime, anywhere, and so on. Therefore, must be more popular with the market and more prospects for development. The purpose of this paper is to study the function of video surveillance on the old man telephone of the laboratory project, so that the user can check the residence situation remotely through the Android terminal device, and get the real-time dynamic of the elderly person in the home in time. In this paper, the development trend of network video surveillance technology is studied. Combined with the hardware resource characteristics of mobile phone terminals and the network performance of wireless network, the overall design scheme of the monitoring system is established. This mainly includes using H.264 coding compression to save the transmission bandwidth and traffic, using the RTP real-time transmission protocol to ensure the transmission of video data, in video playback, through the RTSP streaming media protocol to control the playback of surveillance video. After establishing the implementation scheme, the system is divided into two parts: the monitoring server and the client. The server program is responsible for the video capture, H. 264 compression coding and RTP encapsulation transmission. In view of the limited storage space of mobile terminal devices, the server side also processes and studies the video image data. In this paper, the function of face detection is realized by transplanting Open CV library. When a human intrusion is detected, the screenshot is saved and the key information is stored, which reduces the requirement for the storage performance of mobile terminal devices. The client program of the monitoring system mainly realizes the receiving of video packets, the recovery of H.264 decoding and the function of video playback. In this paper, the video decoding function of H.264 is realized by transplanting the FFmpeg library. In order to verify the function of the program, the server-side program of the monitoring system is deployed to the lab development board, the client program is deployed on the Android smartphone, and the field test is carried out under the campus wireless local area network (WLAN) environment. Through the actual test, the video transmission function of the monitoring system is normal, which can meet the basic needs of monitoring. The face detection module in video image processing can detect the intrusion and save the image. The results of this paper can be used in the old people's telephone in the laboratory to enrich the function of the products.
【學位授予單位】:哈爾濱工業(yè)大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:TN948.6;TN919.81

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1 姚昱e,

本文編號:2433767


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