based automated broadcasting systems and a way forward for low-budget sports

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Not every sports match can afford to mobilize flashy broadcast vans and dozens of staff members. Elementary school soccer matches, minor sports, and amateur leagues have historically been marginalized from broadcasting due to budget constraints. However, the emergence of AI automated broadcasting systems is revolutionizing this field. AI cameras utilize deep learning algorithms to independently recognize the ball's position and players' movements. They track the game by automatically adjusting pan, tilt, and zoom without requiring manual human operation. The footage captured in this way is immediately transmitted online via a cloud system. This technology enables the establishment of high-quality broadcasting environments even on low budgets, contributing to the diversity of the sports ecosystem. Parents can watch their children's matches from afar via smartphones, and athletes in less popular sports can record their gameplay footage to use as scouting data. Furthermore, AI automates the production of highlight videos. It independently recognizes moments where crowd cheers intensify or scoring occurs, instantly generating summary videos of approximately one to two minutes. This service is optimized for modern consumers who consume content at a rapid pace. AI broadcasting is the best example of how technology can lead to the democratization of sports. Black TV address