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AI Injury Proneness Detection System

Overview

The Athletic Injury Proneness Detection system is an innovative solution leveraging AI pose estimation technology. It records athletic actions during training sessions and evaluates injury proneness using the LESS (Landing Error Scoring System) score. This AI-powered system significantly reduces the efforts and time required by a human coach, leading to improved efficiency and accuracy in identifying potential injury risks. This research based project got patented under client name.

Technologies and Frameworks

Industry

Automation

Project timeline

8 Months

No of Developer

5

Challenges and solution

Accurately capturing of athletic movements on 60 FPS.

  • Finetuned Tensorflow pose estimation with custom data for better accuracy, utilizing advanced preprocessing computer vision techniques to precisely track and interpret the movements of athletes during training sessions.

Ensuring system scalability.

  • Developed a flexible and scalable architecture using AWS ELB - load balancers that can adapt to different sports and training routines, making the system versatile and applicable across a wide range of athletic disciplines.

Screenshots

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