A Review on Face Mask Detection Techniques for COVID-19 prevention

ABSTRACT

The World Health Organization (WHO) has stated two modes of transmission of the coronavirus disease (COVID-19) virus viz., respiratory droplets, and physical contact. Hence, there is a need to take some precautionary measures to avoid the spread of this virus such as social distancing and wearing masks. Between these two precautions, wearing a mask is considered to be the key factor for preventing the spread of the virus as these respiratory droplets can land on any surface. Therefore, keeping track of whether people are wearing masks or not is of utmost importance. Using deep learning, a computer-friendly COVID-19 face mask detector can be efficiently created that can help in identifying people without masks, thus, preventing COVID-19 from further spreading. This paper covers different techniques for detecting whether a person in the camera, picture, or video is wearing a mask or not. © 2022 IEEE.