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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.