Building an AI That Watches Rugby
a year ago
- #Rugby Analytics
- #AI in Sports
- #Machine Learning
- Gainline aims to enhance rugby fan experience by providing deeper match context beyond structured event feeds.
- Current data lacks insights into referee decisions, player dominance in scrums, and other nuanced game aspects.
- A prototype AI system was built to watch rugby games, extracting scores, game clock, and transcribing audio for richer data.
- OpenAI's vision model successfully identified match state details but required cost optimization by cropping images to essential parts.
- Alternative methods like image diffing and OCR were explored but proved less reliable than using LLMs for text extraction.
- Whisper was used to transcribe referee and commentary audio, adding valuable context to the game's narrative.
- The project highlights potential for AI in sports analytics but faces challenges in scaling, infrastructure, and ethical considerations.