Problem Statement
One of the biggest issues preventing advancements in the game of squash is the issue of lets and strokes. In recent years, the game has become more aggressive and referee calls more contentious, leading to multiple conflicts and bad behaviors.
1.
DetectionUtilizing state-of-the-art computer vision models which are trained and optimized on our custom data, IntelliReferee achieves high accuracy and precision in detecting the two players, squash rackets, and ball. These advanced computer vision models ensure reliable tracking of player positions, ball movements in real-time.
2.
DecisionAt the core of IntelliReferee is a proprietary AI decision model designed to classify situations as stroke, let, or no-let. The decision model, using inputs of decisioning variables calculated through the detection model, outputs an objective and accurate decision that the referee can accept or override.