블랙티비
The rapid advancement of artificial intelligence (AI) technology is completely transforming the production process and viewing environment of sports broadcasting. In the past, sports broadcast production was a labor-intensive process involving numerous camera operators, directors, and engineers deployed to the field to switch screens in real time and edit replays. However, with the introduction of AI systems combining deep learning and computer vision, the efficiency of broadcast video production has been maximized, enabling high-level, data-driven broadcasting never seen before. AI captures and processes fleeting moments that are difficult for humans to perceive, delivering optimal immersion to viewers.
Representative innovations in AI sports broadcasting include the 'AI unmanned broadcasting system' and 'automatic camera tracking technology.' Smart cameras deployed throughout the stadium track the movement of the ball and players in real time based on AI algorithms. Even without manual camera operation, the AI recognizes the game situation and automatically captures the most exciting angles, accurately tracking players' sudden changes of direction or the trajectory of fast passes. This technology not only drastically reduces broadcast production costs but also significantly contributes to expanding the scope of coverage to marginalized sports sectors—such as youth leagues, amateur tournaments, and unpopular sports—that previously lacked broadcasting benefits due to production cost issues.
Furthermore, AI technology is revolutionizing the way content is consumed after a match. The most notable achievement is "real-time automatic highlight generation technology." AI independently identifies the "highlight moments" of a game by comprehensively analyzing factors such as the volume of crowd cheers, changes in commentators' tone, players' celebrations, and score fluctuations on the scoreboard. Whether in progress or immediately after the match, the AI edits key scenes within minutes to automatically generate short-form videos or clips highlighting individual players' performances. Unlike the past, when editors had to stay up all night searching through vast amounts of match data to find desired scenes, tens of thousands of customized video clips are now mass-produced in real-time and instantly distributed to media platforms and social media worldwide.
Furthermore, AI is making personalized datatainment a reality for viewers. Computer vision technology recognizes players' faces and jersey numbers on the screen to overlay advanced graphic data—such as real-time mileage, top speed, pass completion rate, shooting angle, and expected points (xG)—onto the display in real-time augmented reality (AR). Viewers can request dedicated feeds that track only their favorite players, and they can also select their preferred language or commentary style through AI commentary systems. In this way, AI has established itself as a key driving force evolving sports broadcasting beyond simple automation into highly personalized, cutting-edge content. Black TV