"So, what is visual AI? Visual AI, also commonly known as computer vision in technical circles, focuses on extracting useful information from images and video. It detects objects, tracks motion, and measures positions. Visual AI builds on that foundation but goes further by incorporating context, reasoning, prediction, and decision support. Rather than simply answering what happened in a frame of video, visual AI asks what that information means, how confident we are, and what action should follow."
"Most of us will watch the big game from our living rooms rather than shelling out thousands of dollars for a seat in Levi's stadium. In exchange for not experiencing the thrill and excitement of watching a football game in person, those of us at home will get the benefit of experiencing the game with a few technological enhancements. Over the past few decades, visual AI has changed how viewers watch the game and how it's officiated on the field."
"Remember when the virtual first-down line first appeared on your television screen? It's so natural now that you may not remember, but that was one of the first mainstream uses of visual AI in sports broadcasting, and it fundamentally changed how fans watch football games. With visual AI progressing, advances like these are likely going to make the football-watching experience more interactive, engaging, and above all, entertaining."
Visual AI extracts information from images and video, detecting objects, tracking motion, and measuring positions while adding context, reasoning, prediction, and decision support. Broadcast innovations, such as the virtual first-down line, changed how fans consume football and normalized on-screen visual augmentation. Home viewers receive technological enhancements that increase interactivity, engagement, and entertainment. Referees and officiating benefit from improved detection and confidence metrics, reducing controversy in calls. Continued advances in visual AI will enable broader field awareness, better motion analysis, automated insights, and more immersive viewing experiences as systems progress beyond simple detection toward actionable, context-aware decision support.
Read at Fortune
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