ABSTRACT
The World Health Organization declared a new Coronavirus infection (COVID-19) to be a hazardous virus that might easily spread among humans after a rapid outbreak. When it comes to precautions, it's a must to wear a face mask when going outside and meeting new people. Few people, on the other hand, refuse to wear or improperly wear a face mask for a variety of reasons. In this instance, establishing a face mask detector is critical. Using advanced deep learning techniques in particular Mnet and Res-Net, a smart door with an embedded camera is developed that will open if the person in front of the camera is wearing his or her mask appropriately. Using this notion, a variety of Organizations and Institutions might keep track of those who are not wearing their masks or are wearing them wrongly and alert the administration, allowing them to take appropriate action. During the COVID-19 epidemic, when the government has mandated the use of face masks, this approach will be extremely beneficial. © 2022 IEEE.