ABSTRACT
Covid-19 has become one of the most dangerous diseases suddenly which is infecting the people in all over the world. It has created an impact on the lives of thousands of people all over the world. Governments of various countries are trying to control the wide spread of COVID-19 in our society. It is a danger to the human existence, so it is highly important to stop spreading the disease as it is deadly contagious. Spreading of virus can be prevented, by maintaining social distance and hygiene. The major transmission mode of COVID-19 is through saliva and nose discharge.It is highly important to know the necessity of wearing mask in the public. We need an automatic monitoring system for time being to monitor the public so as to avoid the situation of spreading of the disease for not wearing mask and not maintaining social distance. We have applied a deep learning technique to check whether the person is having a face mask or not. This work is aimed to identify the face mask in the public places which helps in the reducing of spread of the virus. CNN is used for the model. The proposed model recognizes the face region in the image given as input and extracts the necessary facial features to identify the face mask region. © 2021 IEEE.