Compare People Counting Accuracy with OpenCV on Raspberry Pi and Infrared Sensor
Khanista Namee, Rudsada Kaewsaeng‐on, Jantima Polpinij, Kavin Rueagraklikhit, Areej Habib Meny, Sanya Namee · 2023
This paper presents the results obtained from the comparison of techniques used to count the number of people in a room in real time for use in smart office systems. Counting people through a webcam based on a top view. After that, the image is processed with OpenCV on the Raspberry Pi and another technique is to count people with an infrared sensor attached to the door. The results obtained from the test revealed that the camera method used to count people with a top view had the highest accuracy at 84.28%. However, this value was obtained from a test on a PC. This value will vary according to the performance of the applied device. When used with the Raspberry Pi, the accuracy is reduced to only 75.63%. Hence, when actually using it, it can be seen that using an infrared sensor would be more appropriate. Since it has an accuracy of counting people at the door at 79.81%.