The University of Waterloo is working with Major League Baseball’s Baltimore Orioles to develop PitcherNet, an AI system that uses video footage to assess pitcher biomechanics. The tool uses 3D modeling and machine learning to replicate the complex motion analysis typically generated by systems that are only available in select stadiums. Additionally, PitcherNet will enable scouts and coaches to analyze key metrics from cellphone or broadcast video, making it easier to assess talent at the collegiate and minor league levels. “Rather than the scout reporting qualitatively, now you have quantitative data from the scout at a college-level game,” said UWaterloo Associate Professor John Zelek.
CBC
| Brandon Sun
