Digimithril provides IntelliReferee, an AI‑driven platform that uses computer‑vision to analyze live squash video streams and automatically detect rule violations such as out‑of‑bounds, double‑hits, and foot faults.
Funding
Funding not disclosed
Founders
Product
Problem
Squash matches often suffer from inconsistent officiating due to the difficulty of accurately detecting rule violations in real time, leading to disputes and perceived unfairness among players and officials.
Solution
Digimithril offers IntelliReferee, an AI-driven platform that applies computer‑vision algorithms to live video streams of squash games. The system automatically identifies common infractions such as ball‑out, double‑hits, and foot faults, and presents real‑time decision support to referees. By delivering instant, objective analysis, the platform helps officials make more precise calls, reduces controversy, and enhances the overall fairness of competitive play.
Target Audience
Primary customers are squash tournament organizers, professional leagues, and national governing bodies that require reliable officiating tools for high‑stakes matches.
Features
- Real‑time video ingestion and processing with low‑latency computer‑vision models tuned for squash dynamics
- Automatic detection of key rule violations (e.g., out‑of‑bounds, double‑hit, foot fault) with confidence scoring
- Decision‑support interface that highlights incidents and suggests rulings to on‑court referees
- Continuous learning pipeline that updates detection accuracy from annotated match data
- Integration hooks for broadcast overlays and tournament management systems