The Application and Fairness of AI Visual Recognition Technology in the Referee Assistant System of Sports Events in the Guangdong-Hong Kong-Macao Greater Bay Area
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DOI: 10.25236/gemmsd.2025.077
Author(s)
Yifan Peng, Jingxiao Wei
Corresponding Author
Jingxiao Wei
Abstract
With the vigorous development of sports in the Guangdong-Hong Kong-Macao Greater Bay Area, the number and scale of various sports events are constantly increasing, placing higher demands on the accuracy and fairness of refereeing. AI visual recognition technology, with its high efficiency and precision, shows great potential for application in referee assistant systems for sports events. This paper focuses on the application of AI visual recognition technology in referee assistant systems for sports events in the Guangdong-Hong Kong-Macao Greater Bay Area, as well as the issues of fairness. First, it outlines the relevant theories of AI visual recognition technology and systems for sports events, analyzes the characteristics of sports events in the Greater Bay Area, and the challenges faced by referees. Through specific event cases, this study explores the application of AI in referee assistant systems, studies its impact on event fairness, identifies existing problems in the application, and proposes countermeasures. Finally, the study summarizes and outlines its prospects, aiming to provide a reference for improving the level and fairness of refereeing in sports events in the Greater Bay Area.
Keywords
AI Visual Recognition; Sports Referee Assistant System; Greater Bay Area; Fairness; Real-Time Officiating; Athlete Motion Analysis; Event Technology Integration; Human-Machine Collaboration