Congestion Monitoring System Using Infrared Sensor

Social-distancing is one of the measurements to prevent and reduce COVID-19 infection risk. An easy and effective way to keep a distance in a confined space is to limit the number of people in that area at a time. In this paper, we develop a congestion monitoring system using an existing motion sensor to indicate the occupation in the recreation area where a number of students will get together during break time. For the first phase, an infrared sensor, HC-SR501, and Raspberry Pis have been manipulated to collect motion data in order to generate graph visualization together with a heat map of the density of congestion. In the next phase, video images will also be used to identify the occupancy for higher accuracy.