Face Recognition and Facial Temperature Detection System Based on Neural Network Algorithms

In response to the issues of proximity between the measurer and the measured individual, as well as low measurement efficiency in traditional methods of body temperature measurement, a face recognition and facial temperature detection system based on neural network algorithms has been designed. Regarding hardware design, it utilizes a dual-camera system with infrared capabilities and an integrated built-in blackbody module to capture thermal imaging data. Regarding software design, the collected data is input into a neural network algorithm model for analysis and processing. It has been demonstrated through experimentation that the system can automatically capture and rapidly output dynamic facial images and body temperatures. This system enhances information technology in prevention and control work while reducing the risk of disease transmission.