Mehrsan Javan, Chief Technology Officer at Sportlogiq, presents the “Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics” tutorial at the May 2024 Embedded Vision Summit.
At a high level, sport analytics systems can be broken into two components: sensory data collection and analytical models that turn sensory data into insights for users. In this talk, Javan focuses on the latter, and more specifically on the challenges his company has encountered in adapting advanced analytics originally developed for professional leagues to create a new product for use in a new market—youth sports.
These challenges arise due to the unfamiliarity of end users with sophisticated analytical metrics, incomplete and partially accurate underlying visual data and the inherent limitations of vision-based data collection systems. Javan explains how Sportlogiq uses a combination of vision systems, generative models and reinforcement learning techniques to develop compelling products for youth sports, and shares what’s been learned in this process.
See here for a PDF of the slides.
