基于无线网络的家庭主动监控系统的研究
发布时间:2018-01-16 06:37
本文关键词:基于无线网络的家庭主动监控系统的研究 出处:《广东工业大学》2014年硕士论文 论文类型:学位论文
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【摘要】:智能监控系统有着使用方便、反应快捷、界面直观的特点。家庭监控系统是智能家居安防系统中的关键组成部分。随着人们生活水平的提高,对生活质量的要求也日益显著;无线网络迅速发展,“无线城市”的进一步推广,使得无线网络接入无处不在,方便了进行网络应用。特别是当今计算机通信技术、网络传输技术、视频图像识别处理技术的快速发展和相关硬件条件的日益完善,发展了传统的视频监控方式,化有线传输为无线传输,化被动监控为主动监控。3G和无线WiFi网络的出现,给智能监控系统提供了完美的解决方案。不但节约资源成本,而且增加终端的可移动性和便携性。 本文主要研究基于无线网络的家庭主动监控系统。主动视频监控与被动视频监控相比,可减少人的干预,主动执行监控程序设定的任务,主要体现在图像分析与理解、视频的编解码两方面。文章研究了主动视频监控中的关键技术,包括Linux环境的搭建、运动物体检测技术、报警机制、视频编解码、图像的实时传输,并进行比较选择。对系统进行了总体方案设计和需求分析,该系统的主要功能表现在能实时判定监控区域中是否存在运动目标,并将现场图像传递给监控主机进行显示。WiFi网络的大带宽解决了传输速率对实时视频图像的影响,选用具有双ARM架构的海信hi3520视频处理器,并搭建交叉编译环境,结合H.264视频压缩编码,提高了系统监控质量。该系统能对监控目标区域的异常运动物体进行检测并及时报警,高的传输速率能够保证实时传输高清晰监控图像。 本文的整个系统架构采用的是B/S模式,即浏览器端/服务器端模式。浏览器端采用的是安装有Linux操作系统的PC机,服务器端采用的是搭载Linux系统,烧写含有运动目标检测算法的ARM11内核的开发板。通过对浏览器端和服务器端的软件设计,进行了相关驱动的开发。试验测试表明,该系统不仅具有传统视频监控的采集、远程监控功能,而且可实现主动抓拍监控区域中运动目标图像帧,通过Internet还可实现图像的上传。实现了实时的视频监控画面,优点显著,市场应用价值高。
[Abstract]:Intelligent monitoring system has the characteristics of convenient use, quick response and intuitive interface. The home monitoring system is a key component of the intelligent home security system. With the improvement of people's living standard. The demand for quality of life is also increasingly evident; With the rapid development of wireless network and the further promotion of "wireless city", wireless network access is ubiquitous and convenient for network application, especially computer communication technology and network transmission technology. With the rapid development of video image recognition and processing technology and the improvement of related hardware conditions, the traditional video surveillance mode has been developed to transform wired transmission into wireless transmission. Passive monitoring is the emergence of active monitoring. 3G and wireless WiFi network. It provides a perfect solution for intelligent monitoring system. It not only saves the cost of resources, but also increases the mobility and portability of the terminal. This paper mainly studies the home active monitoring system based on wireless network. Compared with passive video surveillance, active video monitoring can reduce human intervention and implement the task of monitoring program. This paper studies the key technologies of active video surveillance, including the construction of Linux environment, the detection technology of moving objects, and the alarm mechanism. Video coding and decoding, real-time image transmission, and comparison and selection. The overall scheme design and requirement analysis are carried out. The main function of the system is to determine whether there are moving targets in the monitoring area in real time. And the large bandwidth of the field image is transferred to the monitor host to display. WiFi network, which solves the influence of the transmission rate on the real time video image. Select Hisense hi3520 video processor with dual ARM architecture, and build a cross-compiling environment, combined with H.264 video compression coding. The system can detect and alarm the abnormal moving objects in the target area in time, and the high transmission rate can guarantee the real-time transmission of high-definition monitoring images. The whole system architecture of this paper is based on B / S mode, that is, browser / server mode. The browser uses PC with Linux operating system. The server uses the Linux system to burn down the development board of the ARM11 kernel which contains the moving target detection algorithm. Through the software design of browser and server. The test results show that the system not only has the functions of traditional video monitoring and remote monitoring, but also can capture the image frame of moving object in the monitoring area. Image upload can also be realized through Internet, and real-time video surveillance screen is realized, which has obvious advantages and high market application value.
【学位授予单位】:广东工业大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN948.6
【引证文献】
相关期刊论文 前1条
1 沈萍萍;谭伟;秦云涛;方立刚;;基于ZigBee协议的智能家居环境监测系统设计与实现[J];苏州市职业大学学报;2014年04期
相关硕士学位论文 前1条
1 卢耀书;基于ZigBee网络的家居环境监测系统设计和节点定位研究[D];广东工业大学;2016年
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