Developing An Automated Face Mask Detection Using Computer Vision and Artificial Intelligence

Abstract

As the number of people affected by COVID-19 keeps on rising. Importance of wearing masks and washing hands has been the most important protocol right now to prevent the spread of COVID-19. As the pandemic has been going on for almost a year now, people have already started to go around to public places whether it is to eat out, work, or grocery shopping. Many people, however, have not been wearing masks properly by only putting them below their nose or putting it down until their chin. Hence, in this project a mask detection system is made to detect people live time who are wearing or not wearing a mask and can generate a business intelligence report for the shop owner to be aware of the number of people not wearing a mask per day. This system can detect the percentage of the mask is worn properly or not. The more proper it is worn (full up to nose), the higher the percentage will be. This system is useful in a pandemic like this as it is hard to keep track of the number of people who are not wearing masks, especially in a big crowd or in a large space as one person not wearing a mask can greatly affect others.