AI-Driven Shuttle Tracking & Point Detection System

Abstract

The expanding need for precise refereeing in fast-paced racket sports underpins the shortcomings of both human-centered call-making and current hardware-centric systems. An artificial intelligence-based self-learning multi-sport refereeing framework with a single monocular camera, court homography, multi-object tracking, and deep learning detection is presented. Scalable, affordable, and ethical in real-time officiating, analytics, and strategy optimization across multiple sports, the confidence-aware human-in