Real Time Face Mask Detection with Alert System

Last years of COVID shows that mask-wearing is important thing in stopping the COVID-19 spreading. By the time of this article, most states have recovered from COVID pandemic but mask wearing is needed for personal safety of person. That’s why, Real-time face mask detection with alert system becomes a very important part of spread of the pandemic as well as number of viral infections. This study will present a face mask detection with alert system that can detect and monitor mask-wearing a person or not from camera and gives alert alarm when the person is not wearing mask. Using CNN algorithm. we can detect the person is wearing mask or not. Increasing number of cases all over the world, this system is replaced humans to check masks. people are wearing a mask or not needed and also detection. This system fulfils all those needs. Our system can be used in public places like airport entry and railway station. This system is very useful in many companies where there are lot of peoples are worked. We have used basic concepts of convolutional neural network algorithm to state the mask wearing position. Results shows that our model performs well on the test data with 100 percent and 99 percent precision and recall, respectively. Our system will be python and machine learning based. Our system is very helpful because it is worked on Real-Time and gives output in seconds and will very easily find the people who are not wearing the mask or not and gives the temperature of person if he or she is wearing mask. If the person is not wearing the mask the system gives alert message. This system saves the precious time of person because it is work on real time bases.