Deep Learning based Approach for Face Mask Detection
Abstract
The CRONA virus’s malady (COVID-19) which is an enormous family of distinctive infections have gotten to be exceptionally common, spreadable, infectious and perilous to the whole world of human kind. It transmits for the most part through nose and mouth if a tainted individual sniffle or hack which clears out beads of the infection on distinctive surface which is at that point breathed in by other individual, he too catches the disease as well. So, it has ended up exceptionally pivotal to secure ourselves and the individuals around us from this circumstance. We require to take safety measures such as keeping up social separating, washing hands each two hours, utilizing sanitizer, and the most vitally wearing a cover. To prevent the spread of virus, face mask is important and with face mask it is difficult to recognize face of human being with machine. The proposed method developed an approach of face mask detection based on deep learning approaches. Proposed approach encompasses with pre-trained models VGG16 and VGG19. The proposed model demonstrated on a real-world information set and tried with live video gushing. Higher the precision value of the demonstrated dataset with diverse hyper parameters and different individuals at distinctive has been performed. The results have been reported in the present manuscript.
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