An intrusion monitoring system design based on 3D face recognition
Xiaomin Li, Xinran Li, Shuming Gu · 2023
The embedded microprocessor, face recognition sensor, and body sensing radar sensor are used to design an intrusion monitoring system with a 2-layer architecture of “upper computer + lower computer”, which has the main functions of automatic identification of intrusion objects, illegal intrusion alarm, intrusion object identification and statistical analysis of intrusion behavior. The system uses a combination of “binocular stereo vision + structured light + active infrared fill light” technology to perform face recognition and prevent the intrusion of illegal objects. The test results show that the face recognition technology adopted in this paper can effectively improve the reliability of face recognition and reduce the false recognition rate, and the system is easy to deploy, has good environmental adaptiveness, and is flexible in use.