Researchers develop game-changing baseball technology
University of ݮƵ researchers have developed new artificial intelligence (AI) technology that can accurately analyze pitcher performance and mechanics using low-resolution video of baseball games.
The system, developed for the by the ݮƵ team, plugs holes in much more elaborate and expensive technology already installed in most stadiums that host Major League Baseball (MLB), whose teams have increasingly tapped into data analytics in recent years.
“The Orioles approached us with a problem because they weren’t able to analyze pose positions and, subsequently, the biomechanics of their pitchers at games that may not have access to high-resolution cameras,” said Dr. John Zelek, a professor of systems design engineering and co-director of theat ݮƵ.
“The goal of our project was to try to duplicate Hawk-Eye technology and go beyond it by producing similar output from broadcast video or a smartphone camera used by a scout sitting somewhere in the stands.”
Read the full story,PitcherNet helps researchers throw strikes with AI analysis in ݮƵ News.
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ݮƵ researchers used images generated during the training process to help build the PitcherNet AI technology. (University of ݮƵ)
This research was featured in the Toronto Star article, .