Face Mask and Social Distance Detection System

Abstract

According to data obtained by the World Health Organization, the global pandemic of COVID-19 has severely impacted the world and has now infected more than eight million people worldwide. Wearing face masks and following safe social distancing are two of the enhanced safety protocols that need to be followed in public places to prevent the spread of the virus. This system would be very useful in a shopping mall and restaurants where a special person is hired for this task. To create a safe environment that contributes to public safety, we propose an efficient computer vision-based approach focused on the real-time automated monitoring of people to detect both safe social distancing and face masks in public places. In this proposed system modern deep learning algorithms are applied. This system is developed in python language.