A mask wearing recognition system based on the pandemic

Abstract

In order to effectively block the spread of the epidemic and meet the needs of epidemic prevention and control in densely populated areas, this paper designed and implemented a real-time mask wearing detection system based on open source data, TensorFlow network model and PyQt5 framework. It has the functions of camera detection and video file detection, which can detect the wearing of masks in real time. It can not only detect the face mask in the image, but also detect the wearing of single or multiple face masks in the video.