Intelligent detection and recognition system for mask wearing based on improved RetinaFace algorithm
Bin Xue, Jianpeng Hu, Pengming Zhang
Abstract
The COVID-19 can be transmitted through airborne droplets, aerosols and other carriers. In order to better reduce people's risk of infection, individuals need to wear masks to prevent the spread of the virus when going out to public places, seeking medical treatment, and taking public transportation. This paper is based on the improved RETINAFACE algorithm, which effectively realizes the detection of mask wearing, and on the basis of this algorithm, realizes the function of judging whether the mask is worn correctly. In the face recognition algorithm, this paper designs a face recognition algorithm with higher accuracy. The system combines a face mask wearing detection algorithm, a mask standard wearing detection algorithm and a face recognition algorithm. In addition, this article adds a voice prompt module to better assist the integrity of the system's functions. The test results of the final experiment show that the system can effectively achieve the purpose of face mask detection and recognition.