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University of Waterloo, MLB team partner on pitcher biomechanics project
University of Waterloo, MLB team partner on pitcher biomechanics project

National Post

time07-05-2025

  • Sport
  • National Post

University of Waterloo, MLB team partner on pitcher biomechanics project

Article content Staying competitive in the American League East means staying on the cutting edge of technology. Article content Article content That's why the Baltimore Orioles have partnered with researchers at the University of Waterloo to develop artificial intelligence technology, called PitcherNet, that will help the MLB team track the biomechanics of pitchers at every level of the organization, from the collegiate ranks and through its minor-league system. Article content PitcherNet takes the main camera feeds fans are used to seeing — either from behind the pitcher or behind the batter — and combines it with video footage shot on a smartphone by a scout or team official. Using AI, PitcherNet then extrapolates the pitcher's entire throwing motion, recreating the level of detail that the 12-camera Hawk-Eye system is capable of producing. Article content 'What we do is we try to extract 2-D information, 2-D joint position information, and then extrapolate using 3-D avatars,' said Waterloo PhD student Jerrin Bright. 'The 3-D avatars are like blobs encompassing a human itself and we use those blobs to basically find the 3-D human pose, which can be represented with the shape of the person, so that's the idea behind it.' Article content Sig Mejdal, the Orioles' assistant general manager, said that in his experience it's a necessity to evolve, even in a sport as old as baseball. Article content 'It's completely mandatory,' said Mejdal, who worked for NASA and Lockheed Martin's satellite operations unit at Onizuka Air Force Station in Sunnyvale, Calif., before moving to the St. Louis Cardinals and then the Houston Astros. 'The success that I've been a part of in St Louis, Houston and Baltimore, so much of it has come from innovation and change. Article content 'We're the Baltimore Orioles, we're not a large-market team, and we're in the American League East. We have to do everything right, and it would be foolish not to explore every avenue of improvement.' Article content Article content As part of that need to stay ahead of the competition, Mejdal wanted to expand the Orioles' ability to track the biomechanics of their pitchers. Article content Currently, every MLB ballpark and over 60 minor-league stadiums are equipped with Hawk-Eye technology, a series of cameras strategically located throughout a venue for precise 3-D imaging. Primarily used by officials in tennis, soccer, and other sports for review calls, it's increasingly used in baseball to help track the throwing motion of pitchers. Article content This is important for two reasons. First, a successful pitcher is able to replicate the same throwing motion over and over again. Second, close analysis of a pitcher's biomechanics can help find likely causes of injuries. Article content But Hawk-Eye cameras are only accessible to the home team at MLB and triple-A ballparks. Any minor-league team at a lower level or a scout at a college or high school field doesn't have access to those analytics because the expensive infrastructure is almost always unavailable.

University of Waterloo, MLB team partner on pitcher biomechanics project
University of Waterloo, MLB team partner on pitcher biomechanics project

Edmonton Journal

time07-05-2025

  • Sport
  • Edmonton Journal

University of Waterloo, MLB team partner on pitcher biomechanics project

Article content PitcherNet takes the main camera feeds fans are used to seeing — either from behind the pitcher or behind the batter — and combines it with video footage shot on a smartphone by a scout or team official. Using AI, PitcherNet then extrapolates the pitcher's entire throwing motion, recreating the level of detail that the 12-camera Hawk-Eye system is capable of producing. 'What we do is we try to extract 2-D information, 2-D joint position information, and then extrapolate using 3-D avatars,' said Waterloo PhD student Jerrin Bright. 'The 3-D avatars are like blobs encompassing a human itself and we use those blobs to basically find the 3-D human pose, which can be represented with the shape of the person, so that's the idea behind it.' Sig Mejdal, the Orioles' assistant general manager, said that in his experience it's a necessity to evolve, even in a sport as old as baseball.

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