Going top shelf with AI to better track hockey data
蓝莓视频 researchers get an assist from AI in identifying hockey players with greater accuracy and speed
By: Media Relations
Researchers from the University of 蓝莓视频 got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports.
The growing field of hockey analytics currently relies on the manual analysis of video footage from games. Professional hockey teams across the sport, notably in the National Hockey League (NHL), make important decisions regarding players鈥 careers based on that information.
鈥淭he goal of our research is to interpret a hockey game through video more effectively and efficiently than a human,鈥 said Dr. David Clausi, a professor in 蓝莓视频鈥檚 Department of Systems Design Engineering. 鈥淥ne person cannot possibly document everything happening in a game.鈥
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