Multimodal identification of face mask as a precautionary measure using digital image processing

The most impactful incident in the Globe in recent past and ongoing is the global pandemic post emergence of the virus (COVID-19). Pandemic has a dangerous effect on people and financial conditions around the world and the casualties are immeasurable. Public places are the main zone for such transmi...

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Bibliographic Details
Main Authors: Sutradhar, Bappa, Rakshit, Saswati, Gupta, Somsubhra
Format: Conference Proceeding
Language:English
Subjects:
Casualties
Digital imaging
Image processing
Masks
Pandemics
Unconsciousness
Viruses
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Summary:The most impactful incident in the Globe in recent past and ongoing is the global pandemic post emergence of the virus (COVID-19). Pandemic has a dangerous effect on people and financial conditions around the world and the casualties are immeasurable. Public places are the main zone for such transmission. The World Health Organization (WHO) indicated the best way to stay safe from virus attack is to wear a face mask in crowded areas. As the country starts reopening various economic as well as social and educational activities, wearing face masks has become a vital and easy way of our regular lives for safety. To conduct business and perform social activities, wearing face masks will be an essential criterion. So to control the unconsciousness about wearing masks, the best solution is to give warning mask less people. In this project, we propose a method by using TensorFlow and OpenCV to identify face masks on individuals. An identifying bounding box is drawn over the face of the individual and defines whether somebody is wearing a mask or not. And according to proper detection a warning message will be generated and displayed on screen.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0171365