Face mask detection using convolution neural network

• Main Author: Shah, Riya Shah Rutva
• Format: Journal Article
• Language: English
• Published: 10-06-2021
• Subjects: Computer Science - Computer Vision and Pattern Recognition
• DOI: 10.48550/arxiv.2106.05728

In the recent times, the Coronaviruses that are a big family of different
viruses have become very common, contagious and dangerous to the whole human
kind. It spreads human to human by exhaling the infection breath, which leaves
droplets of the virus on different surface which is then inhaled by other
person and catches the infection too. So it has become very important to
protect ourselves and the people around us from this situation. We can take
precautions such as social distancing, washing hands every two hours, using
sanitizer, maintaining social distance and the most important wearing a mask.
Public use of wearing a masks has become very common everywhere in the whole
world now. From that the most affected and devastating condition is of India
due to its extreme population in small area. This paper proposes a method to
detect the face mask is put on or not for offices, or any other work place with
a lot of people coming to work. We have used convolutional neural network for
the same. The model is trained on a real world dataset and tested with live
video streaming with a good accuracy. Further the accuracy of the model with
different hyper parameters and multiple people at different distance and
location of the frame is done.