“With 20 million players worldwide in over 185 countries, squash is considered one of the most famous sports in the world. In the dynamic and fast-paced world of squash, the need for an advanced refereeing system has emerged as more and more evident so as to reduce the human error as time passes.Our project aims to help fulfill this need by developing and implementing a functional squash system that is ready to transform the game of squash through artificial intelligence. Unlike traditional structures that rely completely on human sources, our answer harnesses modern computer vision like YOLO and openCV , data analytics and machine learning like RNN and use these technologies to autonomously and accurately officiate in real-time. In the end, this system hopes to ensure fair and consistent decisions and improve the overall squash experience for players and fans.In addition, it tries to revolutionize playing and watching squash by addressing the needs and expectations of players, referees, fans, and investors, thereby making squash a game that embraces technological innovation.”

“Squash is an intensive very fast-paced sport that falls under the human error. making it hard for the referrers to give an accurate decisions.This system is mainly designed to help in the process of refereeing by real time both automated and semi automated ways, specifically in professional squash matches.The proposed system is capable of:

-Help referees taking the right decision in fouls.

-Providing a high degree of accuracy in double bounce and out decision.

– Building trust with players and fans.

-learning from it’s own mistakes.”

To be a second pair of eyes for the referee during the games solve the conflict between the referee and players in case of conflict, an expert will interfere and label the video for the system”