Face Mask Detection and Recognition Using CNN Deep Learning Models

In the pandemic situation, the corona virus-2019 is unfortunately highly transmissible all over the world. To wear mask is one of the precautionary measures that reduces the risk level in the public place. In this study, our focus is classification of with mask and without mask peoples in public places. To deal with this problem deep learning technique is used here. We have used different algorithms for more precise classification of with mask and without mask dataset. The result of this study reveals that, the Admax algorithm showed 97.92 percent accuracy level as compared to other algorithms. In future, for similar kind of studies this algorithm is strongly recommended that can help to classify the image objects more precisely.