Abstract
COVID-19 commonly known as Coronavirus is caused by the virus SARS-CoV-2. This pandemic can be prevented by wearing a face mask after taking the vaccines that have arrived in the market, A vast trial led by researchers at Yale University and Stanford Medicine came up with the conclusion that if a person’s mouth and nose is covered by a face mask they would have a lesser chance of getting infected by COVID-19. To contribute towards global health, this project aims to develop an alert system for face mask detection in public places. Our system tries to achieve this using Keras, TensorFlow, MobileNet, OpenCV, PyTorch, and R-CNN. The proposed work also does Facial landmark detection which can be further extended in the future with face mask detection for applied in Biometric applications. This paper is aimed towards creating a real-time and highly precise technique which efficiently identifies faces that are masked, unmasked, and incorrectly masked and alerts in the case of anomalies to ensure that masks are worn properly.
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