Face Mask Detection Using Deep Learning

Coronavirus disease has had a major impact on the world this year. In public places, one of the most important safety precautions for humans is to wear masks. Many public provider carriers only allow customers to utilise the service if they correctly wear masks. However, there are only a few research studies that use photo analysis to detect face masks. This article proposes the Mobilenet Mask detection technique, which is a multi-model face mask detection technique based on deep learning. There are two face mask data sets that have been used to instruct and assess whether a face is covered in mask or not from photos, live camera, videos, and other sources.This experiment reveals that the validation of over 770 samples has a 93 percent accuracy, while 276 validation samples have a 100 percent accuracy. Our proposed strategy's accuracy was demonstrated by the penalties.