Johns Hopkins researchers have developed AI technology that could revolutionize the way baseball players hit the ball. The Baltimore Orioles presented a challenge to the Sports Analytics Research Group at the university to find a way to measure bats with high precision. This challenge stemmed from the success of the “Torpedo bat” used by the New York Yankees, which optimizes power by redistributing weight to where the player is most likely to make contact.
Through A.I. computer vision technology created by Johns Hopkins students Kevin Wu and Xiaojian Sun, the process of measuring bats has been streamlined. By taking a picture of the bat and inputting the data into their system, they can measure a bat down to .01 inches within minutes. This technology eliminates the tedious manual process currently used by the Orioles, allowing for quicker and more accurate measurements.
The challenge faced by Wu and Sun was finding a surface and method for the A.I to accurately measure the bat in 3D. By using a matte green screen and fishing wire to suspend the bat in front of the screen, they were able to achieve precise measurements efficiently. Baltimore Orioles Assistant General Manager Sig Mejdal praised the technology, emphasizing the importance of precise measurements in describing the design of the bat.
With this innovative technology, the game of baseball could see a shift in how players approach hitting the ball, potentially increasing their chances of success at the plate. The partnership between the Orioles and Johns Hopkins represents a new era of collaboration between sports teams and academic institutions.
Note: The image is for illustrative purposes only and is not the original image associated with the presented article. Due to copyright reasons, we are unable to use the original images. However, you can still enjoy the accurate and up-to-date content and information provided.
