| dc.description.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 | en_US |
