The Coronavirus made a new normalization of life where communal distancing and use of masks for covering their face perform an essential part in monitoring the effects of spreading of the corona virus, still the majority of population are found not using face shields or masks in public areas that accelerates the spreading of the corona virus. This might lead to the serious issue of rise in scattering of the disease. Therefore, to neglect any kind of circumstances we are in need to explore and alert the public for wearing masks. Persons can’t be deployed for this procedure, as the risk of getting affected by corona virus increases. Henceforth, the presented model for mask detection is surrounded along the theories of artificial intelligence (AI), deep learning, object detection technologies and convolutional neural networks (CNN) which are the key subject of this project. The project performs by recognizing the people are wearing their face shields or masks or not in public areas via utilizing image processing and deep learning practices and transmitting data to the governing authorities. These algorithms for abject detection have been optimized for recognition of people with face masks or not. This paper is attempting for development of a model for realtime monitoring which will turn out to be pretty effective and simple. This model magnificently recognizes whether an individual is wearing a mask or not up to 98% of accuracy as achieved till date and observed that it has yielded outstanding outcomes for the detection.

Novel Coronavirus; CNN- Convolutional Neural Networks; AI -Artificial Intelligence ; Deep Learning ; Mask Detection .