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Paper Title : Covid-19 Face Mask Detection and Social Distancing at Public Places

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7047411

Authors: Prof. Sharda.P.Tondare, Prof. Sonali.K.Pawar, Prof. Anuradha.S.Nigade , Prof. Aparna.S.Patil,, Isha Mandawkar, Nallamala Pooja , Aditya Chakraborty

         


Abstract
Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. COVID-19 affects different peoplein different ways. Most infected people will develop mild to moderate illness and recover without hospitalization. Face mask detection had seen significant progress in the domains of Image processing and Computer vision, since the rise of the Covid-19 pandemic. The model uses proposed approach of deep learning, Tensorflow, Keras and OpenCV to detect face masks. This model can be used for safety purposes since it is very resource efficient to deploy. The technique deployed in this model gives an accuracy score of 0.9264.

Reference
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Keywords
— Covid-19, Deep Learning, Computer vision, Mask detection, Social distancing, Python, YOLO.