Researchers from the University of Waterloo got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games more quickly and more accurately, something which could have 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' careers based on that information. "The goal of our research is to interpret a hockey game through video more effectively and efficiently than a human," said Dr David Clausi, a professor in Waterloo's Department of Systems Design Engineering. Bounding boxes are used to identify players as they move on the ice in broadcast game video.