Human-Computer Interaction Intelligent Security System Based on AI and the Internet of Things

With the continuous improvement of people's living standards and the enhancement of safety awareness, the requirements for safety are getting higher and higher. In order to improve safety performance, this paper proposes a new type of human-computer interaction intelligent security system. The system relies on the 3DMM algorithm. Under good lighting conditions, the frontal face recognition accuracy can reach 95%, and the side face recognition accuracy can reach 70% to 80% at a 45° angle. Based on the extracted feature information, the system uses the ICP algorithm to achieve point-to-cloud transmission to the APP. The main control board uses STM32, which integrates functions such as face recognition, fingerprint recognition, RFID recognition, human-computer interaction, and real-time monitoring, ensuring the practicality and safety of the system. Users can view system logs and external environment conditions intuitively through the APP, and can also send commands remotely for human-computer interaction, modify the entered information, or alarm for recognition failures. The system realizes a three-layer closed loop of end-cloud-user, further enhancing security protection and user safety awareness.