• Ragini Agrawal
• Prof. Dharmendrasinh Rathod

As the "COVID-19 pandemic" spreads, it is creating a global healthcare disaster and disrupting our daily lives. This virus is spread mostly by droplet that erupt from someone in a coronavirus-infected person and pose a threat to others. In public places like airports, marketplaces, railroads, and retail stores, virus propagation is more probable." Wearing a face mask in open areas, as set by the World Health Organization (WHO), "The authority is enforcing restrictions like as having to wear throughout public areas, which is one of the most efficient strategies to prevent being affected with the covid virus." using mouthwash, and maintaining social separation. Using Tensor Flow, Keras, and OpenCV, we provide a method for recognizing face masks on people." "A classification model generated well around individual's face using OpenCV determines is not whether the guy is wearing a bulletproof vest." If the face of a person detects that they would be not wearing a scarf, they should take care. The mask is created using real-time public faces and placed into a Convolutional Neural Network (CNN) as an input. Using OpenCV, Tensor Flow, NumPy, Keras, and MobileNetV2, the dataset is utilized to create a face mask detector. We'll utilize a live video stream, and the output will indicate the accuracy with labels like "Mask" and "No Mask," and then we'll be able to combine it with a database to record the image's features. Our objective is to determine if the person in the appearance broadcasts is trying to imply or not "To inhibit the spread of the covid virus." This study will look at the current literature on perspective analytics and the most popular methods for its implementation.

COVID-19, Convolutional Neural Network (CNN), Face mask, OpenCV, NumPy, Tensor Flow.

"Face Mask Detection using OpenCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.311-317, January-2019, Available :http://www.jetir.org/papers/JETIRFL06037.pdf

"Face Mask Detection using OpenCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp311-317, January-2019, Available at : http://www.jetir.org/papers/JETIRFL06037.pdf