Published Paper Details:

Recently, a huge family of various viruses, the coronavirus, has become widespread, contagious and dangerous to all humankind. By exhaling the infected breath, it spreads from person to person, leaving droplets of the virus on various surfaces and being inhaled by others to catch the infection. Therefore, it is important to protect the people around the place from this deadly virus. Everyone should take precautions such as social distance, hand washing every two hours, disinfectant use, social distance, and the most important thing about wearing a mask. Wearing masks in public places is now widespread all over the world. Extreme population of India in a small area has been the hardest and most devastating. This paper proposes a method for recognizing whether masks are turned on in offices and other workplaces with many people. The project used a convolutional neural network for the resolving this social issue. The model is trained on a real dataset and tested with live video streaming with honest accuracy. In addition, the accuracy of the model is perfected by various parameters and several people at different distances and frame positions.