Face Mask Detection Using Deep Learning

Abstract

The present scenario of COVID-19 demands an efficient face mask detection application. The main goal of the project is to implement this system at entrances of colleges, airports, hospitals, and offices where chances of spread of COVID-19 through contagion are relatively higher. Reports indicate that wearing face masks while at work clearly reduces the risk of transmission. It helps raise awareness and prioritizes health andsafety in public places where wearing a mouth and nose covering is mandatory. Using image recognition and machinelearning technology, it monitors whether individuals are correctly wearing their face masks in public spaces by adding a visual overlay. A hybrid model using deep and classical machine learning for detecting face mask will be presented. A data set is used