A Novel Approach to Detect Face Mask in Real Time

COVID-19, a deadly virus outbreak in the entire world, infected countless number of people and leads to death of millions of people. Economy of countries halted, people are stuck up, the situation is becoming worse day by day that no one expected. The COVID-19 can be spread through airborne droplets, aerosols and other carriers. So, the guidelines are released which promotes 3 key points for its prevention: (a) maintain social distancing, (b) sanitization, and (c) most important, wearing of mask in public places. But unfortunately, people are avoiding these measures leading to spread of the disease. So, there is need of some sort of security guards on ground that ensures people would strictly follow the guidelines. But, it’s too risky for the lives of security guards. Fortunately, we live in 21st century. There are so powerful technologies like Machine Learning, Artificial Intelligence, Deep Learning and many more. So, it is possible to develop a way where machines will help us to ensure the guidelines to be followed. There is no need for a physical person to watch over crowd. This research paper proposed a work to implement machine-learning algorithm to ensure people wear the proper face mask or not. It can be used in public places like airports, railway stations or at main gate of societies to ensure that no one without mask may enter the society and similarly can be used at stores.