This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.

A test simulation of all projects and models from time to time.

Fast Volleyball Tracking Inference: Real-time volleyball ball detection and tracking at 200 FPS on CPU (Intel i5-10400F). Powered by an optimized ONNX model, outputs ball coordinates to CSV, with optional video visualization. Ideal for sports analytics and computer vision research.

Cricket Ball Trajectory Detection And Prediction

LBW Detection in Cricket: A Deep Dive with OpenCV & NumPy

Tool for multi-view camera calibration - Ball detection and tracking.

🏀 BasketballDetector implementation using a segmentation approach

A robot made to balance a ball on a platform. The platform is controlled by two servo motors, and the ball's position is detected using a camera. A Raspberry Pi is the brain of the project, and calculates the incline of the plane needed to get the ball to the desired position.

Simple controller using trained NN for ball detection with gazebo, ROS, and Matlab Simulink.