Face mask detection for covid_19 pandemic using pytorch in deep learning

Abstract

The World Health Organization (WHO) has stated that there are two ways in which the spread of COVID 19 virus takes place that are respiratory droplets and physical contact. So, avoiding the spread of this virus need some precautionary steps to be taken that are social distancing and the wearing of masks. Among these two precautions the mask wearing is considered as the important factor for the spread of COVID 19 virus because these droplets can land on any surface. So, to keep track of the people that are wearing mask or not is more important. Here we have presented a mask detection system that is able to detect any type of mask and masks of different shapes from the video streams for following the rules that are applied by the government. Deep learning algorithm is used here and the PyTorch library of python is used for mask detection from the images/video streams. The proposed system is able to detect the mask wearing people and those one who are not wearing the masks.