ABSTRACT
Corona Virus Disease (COVID-19) pandemic is causing a health crisis all over the world. One of the key weapons against Corona virus is wearing a face mask. In this paper, the automatic face mask detection system is presented using deep learning approach. It is used by authorities to check and monitor face mask wearing by civilians in various places like traffic signals, parks, cinema theatres and in other embedded systems. This system assists them to evaluate, track, mitigate and prevent COVID-19 spread. The face mask detection model is developed with a pre-trained Convolutional Neural network (CNN) model. Initially model is trained for detecting human face and in the later stage it will detect the mask. Exhaustive experimentation is carried out with the collection of datasets from Bing search API, Kaggle and RMFD and achieved a training accuracy of 98.6% and validation accuracy of 95.7%. Thus, the proposed system has successfully detected face mask and otherwise too. © 2021 IEEE.