A proprietary AI platform built for squash, combining computer vision, edge AI, and machine learning for faster and more consistent interference decisions.
Advanced computer vision models extract player, ball, and court-state information from standard iPhone video streams, generating the foundational signals required for squash decision support.
A proprietary decisioning engine evaluates spatial, temporal, and contextual match signals to assess interference situations and generate AI-assisted let, stroke, and no-let recommendations.
Machine learning models execute directly on iPhone and iPad devices, bringing decision-making closer to the court and reducing reliance on cloud infrastructure.
A multi-device orchestration layer synchronizes review workflows across iPhone, Apple Watch, and iPad, enabling role-specific experiences for players, referees, and tournament officials.
IntelliReferee is built on a growing portfolio of granted patents and patent-pending innovations spanning AI-assisted officiating, decision-support systems, edge AI, and multi-device review experiences.