Eye and People Counting Using Haar Cascade and NVIDIA Jetson Nano for Ad Analysis

Eye-detection technology is used to improve the effectiveness of advertisements. This research uses a mirrorless camera, the Harr Cascade method to detect eyes and faces, and the NVIDIA Jetson Nano as a microcontroller. The results show that the system can detect with high accuracy, even with differences in distance and face accuracy, even with differences in distance and the number of people looking at the camera. camera. This system can be used to calculate the number of effective ad readers. effective advertising readership. In the three cases tested, the system had an accuracy of 91 %,97%, and 90% for calculating the number of people viewing an advertisement, as well as an accuracy of 87% for face detection.