Tennis Path Detection

Ball Hit Detection Project for Python Machine Learning Jam

This project aims to develop a Python-based machine learning system that detects when a tennis ball hits a designated area on a wall and translates this interaction to a virtual white screen on a computer. The system will use a webcam to monitor a 16:9 aspect ratio frame created with colored tape on the wall. The virtual screen will mirror this frame, maintaining the same aspect ratio and scaling.

Key features include:

• Frame Setup: A 16:9 aspect ratio frame on the wall, adjustable from 32 to 200 inches diagonal.
• Camera Setup: A webcam directed at the framed area.
• Virtual Screen: A corresponding full-size white screen on the computer.
• Ball Hit Detection: Accurate detection of ball hits within the frame, minimizing noise and false positives.
• Hit Visualization: Displaying a persistent black circle at the hit location on the virtual screen.
• Calibration: Ensuring accurate mapping between the physical frame and the virtual screen for different frame sizes.
• Lighting Robustness: Functionality under various lighting conditions.