家庭视觉智能防盗监控系统

Home use intelligent machine vision theft monitoring system

基于ARM9处理器S3C2440芯片硬件平台,设计和开发了一种家庭视觉智能防盗监控系统。服务器以裁剪的Linux为软件平台,移植了多种设备驱动程序,综合利用多线程、socket等编程技术,通过调用OpenCV图像处理库、Libjpeg内存数据编解码库设计摄像头应用程序,着重分析了Linux下V4L的工作原理以及基于特征脸的人脸识别原理。该系统实现了在嵌入式Linux开发板上的人脸识别与身份验证主系统,实现在PC上Web浏览功能,提高了防盗系统的安全性。

Based on the ARM9 processor S3C2440 platform, a home use intelligent machine vision theft monitoring system was designed.Server program was based on clipped Linux platform, and multiple device drivers were built in.Using multi-thread and socket programming, the camera program was designed by calling OpenCV image processing library and Libjpeg memory data codec library.Linux V4L and human face recognition principle by Eigenface were especially analyzed and thereon human face recognition, and identity authentication main system was realized on the embedded Linux development board with an auxiliary PC Web browsing function.The anti-theft system safety was inproved.