Facial Recognition Technology: Boon or Bane; The Use of Computer Vision in Stat-Tracking High School Sports
Dutta, Saahil, School of Engineering and Applied Science, University of Virginia
Wayland, Kent, University of Virginia
Vrugtman, Rosanne, EN-Comp Science Dept, University of Virginia
Blueprint Stats, a computer vision startup in that athletic domain, needed to train a computer system and use computer vision to automatically track player statistics. Through the use of image classification and object detection, my team and I were able to correctly identify sporting events and track individuals based on specific attributes. The initial models trained on Google Cloud Platform were used to identify different sporting events. The system was a huge success among local Indiana schools, particularly for basketball, where a multitude of players' statistics are recorded, now with 97% accuracy. After initial application, the next step is to apply this software to other high school sports.
BS (Bachelor of Science)
Facial, Recognition, Technology, Computer, Vision
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