Baseball teams are always looking for ways to perfect a pitcher's throw, but sometimes it can be difficult to access the feedback needed to improve. At home games, teams use high-resolution cameras to analyze their players’ movements. But when they’re playing away games, they don’t have that same intel.That's why the Baltimore Orioles decided to ask researchers at the University of Waterloo to find a way to accurately analyze lower quality footage from a cellphone or a TV broadcast. Jerrin Bright found a solution with his project called PitcherNet. He spoke to CBC's Aastha Shetty about his AI innovation.
