基于树莓派的智能监控系统设计与实现

随着人们的安全意识越来越强烈,监控系统在生活中得到广泛的关注和应用；针对市场上绝大多数监控系统智能化程度低,视频保存占用内存大,实时性差,对闯入目标不能及时报警等缺陷,设计与开发基于树莓派的智能监控系统；选用树莓派4B搭建硬件平台,搭载Linux系统,基于Python开发环境,结合图像采集模块,采用关联帧差分运动目标检测算法作为核心算法,实现运动目标检测；当系统检测到有目标闯入视野范围内时,开始录制目标闯入后的400帧视频,并将所录制的视频发送到指定邮箱,实现报警功能；在正常光线和昏暗光线下对系统功能进行测试,实验结果表明在不同光线强度、不同目标闯入情况下,系统能够准确识别目标闯入,实现监控、报警功能,实时性强、稳定性高,满足设计需求。

Design and Development of Intelligent Monitoring System Based on Raspberry PI

With the increasing awareness of security, the monitoring system has been widely concerned and applied in life. Aiming at the defects of most monitoring systems in the market, such as low intelligence degree, large memory consumption for video preservation, poor real-time performance, and failure to timely alarm the intrusion target, an intelligent monitoring system based on Raspberry PI is designed and developed. Raspberry PI 4B is selected to build the hardware platform, which is equipped with Linux system, based on Python development environment, and combined with the image acquisition module. Meanwhile, the associative frame differential motion is used as the core algorithm to achieve the moving target detection. When the system detects the target breaks into the field of our view, it not only starts to record 400 frames of video after the target intruding but also sends the recorded video to the specified mailbox to realize the alarm function. The system performance is tested under normal light and dim light. The experimental results show that the system can accurately identify the target intrusion in the case of different light intensity and target intrusion. Moreover, it can realize the monitoring and alarm functions, which has strong real-time and high stability to satisfy the design requirements.