Published Paper Details:

The data obtained from different sources such as the World Health Organization, the Wikipedia, Government Health Ministries, The New York Times, and other sources show that COVID-19 has sickened more than 127 million people worldwide and has killed more than 2 million people. The two main protocols that need to be followed in public places in order to prevent the further spread of the virus is by wearing face masks and following safe social distancing. To create a safe, COVID-19 free environment, we propose a dynamic Computer Vision based automated solution system focused on the real-time face monitoring of people to detect both face masks and body temperature in public places by using Raspberry Pi 4 Model B to detect face mask protocol violations through an integrated Pi camera and to monitor body temperature with the help of MLX90614 sensor. A security clearance system is deployed that will allow that person to enter if they are wearing a face mask and their body temperature is in check with WHO guidelines. Thus, the above said system will help the society by saving time and also helps in contaminating the spread of coronavirus. This can be implemented in public places such as colleges, schools, offices, shopping malls, etc. to inspect people.