The Role of AI in Assisting Basketball Referees and Detecting Fouls

Basketball is a fast-paced sport where accurate activation is crucial for ensuring fairness and maintaining the integrity of the game. However, referees often face challenges in detecting fouls due to high-speed player movements, visual obstructions, and the limitations of human judgment. Recent advancements in Artificial Intelligence (AI) offer promising solutions to enhance decision-making in sports officiating. This study explores the role of AI in assisting basketball referees by automating foul detection and providing real-time decision support. AI-driven systems employing computer vision and machine learning techniques can analyze match footage to identify player contact, illegal actions, and rule violations with high precision. These systems can also reduce human error, ensure consistency in officiating, and accelerate video review processes. By integrating AI-based tools with traditional officiating practices, this research highlights how technology can improve referee training, match analysis, and overall officiating accuracy. The findings aim to contribute to the development of reliable and transparent AI-assisted referee systems in basketball.