An AI-powered footfall counter that uses YOLOv8 for object detection and DeepSORT for real-time tracking. It counts entries and exits of people across a defined line in video footage - perfect for analytics in malls, offices, and public spaces.

Computer Vision based Footfall Counter project for Bhatiyani AI assignment.

An AI-based Footfall Counter using YOLOv5 and OpenCV for detecting and counting people in video feeds.

To design an AI-based Footfall Counter System that automatically detects and counts the number of people entering and exiting a specific area using Computer Vision techniques. This project demonstrates real-world applications of AI in retail analytics, crowd monitoring, and smart surveillance systems.