Intelligent detection and recognition system for mask wearing based on improved RetinaFace algorithm

Bin Xue, Jianpeng Hu, Pengming Zhang
2020 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)  
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
more » ... ask 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.
doi:10.1109/mlbdbi51377.2020.00100 fatcat:drg3pak3dzd7rl2du7p4zt2s24