ABSTRACT
In the pandemic situation, people are quickly affected in our day-to-day life. Wearing the mask is being normal nowadays for controlling the spread of COVID-19. The government and public sectors will ask the public/customers to wear masks to control the spread of COVID-19. Mask detection has become an essential task to help society's well-being to protect our life. This paper provides a simplified approach to detect face masks using basic ML packages in PYTHON like tensor Flow, Keras, OpenCV. This paper helps to analyze an image to detect the face correctly and then identifies whether there is a mask on the face or not. It is a surveillance task to perform the security to create awareness among the people. This method attains the accuracy of scanning face up to 96.88% and 92.39% respectively. This detection is based on two datasets, one is about without wearing a mask and with wearing a mask. This mechanism helps to detect the mask on people's faces in real-time scenarios. © 2022 IEEE.