<p>With the rapid development of technology, research and analysis of sports competitions are gradually entering a new era, especially the deep integration of distributed computing and visual tracking technology, which is bringing revolutionary changes to sports events. The real-time action recognition and annotation system for sports competitions designed in this article, as a powerful combination of these two technologies, aims to provide more accurate and efficient data analysis solutions for sports events. With the help of these precise data, sports analysts can gain a deeper understanding of athletes’ performance and provide targeted technical feedback and improvement suggestions. The implementation of real-time action recognition greatly enhances the audience’s understanding and sense of participation in the competition. By instantly recognizing and interpreting key movements, the audience can more intuitively grasp the progress of the game and enhance their viewing experience. At the same time, this technology provides visual data support for athletes and coaches, helping them optimize tactical decisions and develop scientific training plans. Coaches can adjust tactical arrangements and training priorities based on real-time feedback provided by the system, thereby achieving more efficient competitive performance. The widespread application of sports video annotation systems not only enhances the professionalism and viewing experience of event broadcasting, but also creates more possibilities for subsequent data mining and strategy adjustment. By accurately annotating every action, pass, and shot in the game, analysts can build detailed game data models to help teams discover potential weaknesses and opportunities, providing scientific basis for developing targeted training and game strategies.</p>