Exploring the Application of Computer Vision in Elite Sports – The Value Proposition and Integration Challenges

by Varun Kodathala | at Minnebar 17 | 11:15 – 12:00 in Florida | View Schedule

Technology has a profound impact on many industries, including the sports. Artificial Intelligence in particular has completely disrupted the sports industry, enabling the precise analysis of the performances of players. SportsVision is an advanced sports analytics platform powered by Artificial Intelligence, Deep Learning and Computer Vision for both off and on the field analytics that caters to the needs of everyone involved in sports management. It enables coaches and managers to analyze and enhance the performances of players with vision-centric insights like never before. Once the videos are uploaded onto the SportsVision platform, the deep learning algorithms provide multiple insights such as automated actions, event tagging, pose analysis, player tracker, and rating application as needed.

Detailed Outline of Presentation: Introducing SportsVision: • Problem Statement • Our Solution • Our Evolution Artificial Intelligence for the Win: • Assessments and Training Evaluation • Performance Analysis • Tactical Analysis The SportsVision Paradigm: • Anthropometric Analysis • Computer Vision based Bio-Mechanical Analysis • AI based Individual player performance statistics • Individual Strategic Analysis • Computer Vision driven SWOT Analysis for both home and opponent team tactics Key Challenges of AI usage in Elite Sports: • Data Collection • Connecting AI and Sports Communities • Keeping control on decision making • Interpretability of AI results • Robust Modelling Platform Illustration of AI based Stats in: • Diving • Boxing • Taekwondo Summary and Conclusions of AI Usage in Elite Sports: • Risk • Potential • Future and Ease of use in sports

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Varun Kodathala

I am Sai Varun Kodathala, the CTO at SportsVision (Techstars' 24). My background in engineering, highlighted by two University President Gold Medals, has grounded my approach to technological solutions. I specialize in image processing and computational optimization, focusing on practical applications in sports analytics. My work includes developing algorithms that enhance our understanding of athlete biomechanics and performance. I have also filed provisional patents to secure our innovative methods. Passionate about bridging the gap between academic theories and real-world applications, I am committed to advancing sports technology through thoughtful and effective solutions.