Smart System for Reducing the Spread of Covid-19

The COVID-19 has not gone away. It has returned from time to time. This disease is spread by close contact by breathing in air and touching. Centers for Disease Control and Prevention (CDC) announces the most effective way to slow down the spread of coronavirus is to wear masks and avoid a close contact with other people or make a social distance. This paper presents a smart system to reduce the spread of Covid-19 by detecting the distance between people in the room, counting number of people in the room, and detecting persons without mask when entering the room. YOLOv5 algorithm is employed for mask detection while DeepSORT is used for tracking people and measuring the distance between persons in a room. The web application displays values from home automation sensors, streams the video from the cameras, counts the number of people and detects people who do not follow social distancing. Results show the effectiveness of the system. This proposed system can be integrated to an existing home security system.