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A Systematic Review on Techniques of Facemask Detection using Digital Images

The hasty spread of Coronavirus around the entire world prompted a number of red alerts in various areas including human health, humanity and day to day living styles of human beings. During this pandemic situation, face masks have been used worldwide for protecting humans against the disease of Coronavirus. Face masks are the best and most effective known method to control the dissemination of Covid-19. It is really very difficult to correctly monitor whether the individual have worn face mask or not in order to notify the victim in crowded and hustled places. The face mask detection process generally uses a camera to capture live streaming videos of crowd places and converting them into images. The systems for mask detection are developed with a toll-way gate which allows only if the person crossing it has a face mask worn on his/her face or it does not allow the person in. This paper aims to review various techniques proposed for identifying whether the individuals are wearing facemask or not to protect themselves and others from this deadly virus.