Detecting Face Masks Using Deep Learning to Control Public Hygiene, Safety and COVID-19 Spreading

The Novel Coronavirus or CoViD-19 has been spreading rapidly around the globe since 2019 and is causing a massive impact on humans; lakhs of people have died because of this virus. It is declared an epidemic by WHO due to its impact and lack of antiviral drugs. This disease is contagious and is easily transmissible by some basic mistakes, like coming in contact with the coughing sneezing droplets of an infected person, and symptoms are like normal flu. During these days and even after this lockdown ends it is advised to wear a mask or cover their face but in crowded places like hospitals and supermarkets and it is not easy to track whether a person is wearing a mask or not and manual checking is not practical as it increases labor. In this paper, propose a mask detector with the help of a deep learning facial classification system to detect whether a person is wearing a mask or not so it can be attached to a CCTV to ensure the entry of only people with a mask.