AI-Powered Sports Analytics for Race Prediction and Performance Insights

Discover how AI in sports enables accurate race prediction and real-time data analytics to enhance performance with machine learning in sports analytics.

Overview

At A Glance

Industry

Entertainment

Region

Europe

Duration

8 Weeks

Technical Stack

AWS Lambda

Python

AWS Kinesis

AWS S3

Client Profile

The client is a Europe-based sports organizer, arranging various racing events daily.

Challenge

Race organizers and the management team were unable to analyze the motion parameters of racers.
Viewers of the game had no means of forecasting the race result.

Solution

Solved the result forecasting issue using artificial intelligence.
Used Kinesis video stream to fetch real-time game streams from a video camera.
Real-time stream is then passed onto AWS Lambda service, for video properties segmentation.
Various video properties are processed separately.
AI and machine learning algorithms are applied on frames collected for predicting the result.
A boundary box is created for each race participant. Motion parameters and win probability (%) are displayed above each boundary box.

Key Benefits

Motion parameter data collected helps the sports technologist and coach to guide the player with performance improvements.
The solution helped the viewers to predict the game outcome.

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