Deep Learning based Face Mask Detection for COVID-19 Safety

Abstract

Coronavirus sickness 2019 has affected the world seriously. One foremost safety approach for human beings is to put on masks in public areas.so many public provider carriers require clients to use the carrier solely if they put on masks correctly. However, there are solely a few lookup research about face masks detection based totally on photo analysis. This article proposes Mobilenet Mask detection technique, which is a Deep learning based multi-model face mask detection technique. There are two Datasets of face masks which have been utilized to instruct and determine whether a face is covered in Mask or not from the sets of images, live camera, videos, etc. This Experimentation shows the validation of more than 770 sample are having an accuracy of 93% whereas 276 validation samples attains 100%. The penalties demonstrated that our proposed strategy is so accurate.