Machine Learning based Face Mask Classifier

ABSTRACT

The COVID19 pandemic has affected almost entire world. The virus is spreading at a rapid rate through droplets generated while sneezing or coughing. All the governments in the world have made it mandatory to wear face masks. But almost 30 to 40% of public is not following the rules. Some people wear masks but they do not wear them in a proper way i.e., they wear masks below their nose. This paper proposes a model based on InceptionV3 algorithm which classifies people into 3 categories namely face fully covered, face not covered and face partially covered with mask. This paper will help the police to detect people without masks or people not wearing masks properly at a crowded place. The police can then keep record of such people and fine them. © 2022 IEEE.