Face Mask Detection and Social Distance Monitoring using Machine Learning Architecture

COVID-19 has affected the world badly. Studies have demonstrated that wearing a facial covering is one of the insurances to diminish the danger of viral transmission. And many public places as well as public service providers require customers to use the service and place only if they wear mask correctly. Sometime it may not be easy to manually track the customer, whether they are wearing the mask or not. That’s why this technology holds the key here. In this system, we propose face mask detection using image processing which is one of the high-accuracy and efficient face mask detector. This proposed system is of three stages i.e. 1. Image preprocessing 2. Face detection and crop 3. Face mask classifier. Our system is capable of detecting masked and unmasked faces and can be integrated with cameras and other hand detecting the distance between two people whether they are maintain distance or not