Abstract:
This project presents a Human Detection and Counting System implemented in Python, utilizing computer vision techniques to detect and count the number of individuals in a given area. The system leverages popular computer vision libraries such as OpenCV for image processing and object detection, making it versatile and suitable for applications in areas like crowd monitoring, security surveillance, and retail analytics.