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SPORTS ANALYTICS FOR ANDROID AND IOS
Client’s Need
A mobile application capable of performing analytics for baseball and golf, including player’s pose estimation and high-speed ball tracking at 160 km/h, optimized to run on standard Android and iOS devices, thereby eliminating the need for specialized equipment costing up to $20,000.
Goals of the project
- Develop real-time pose estimation and ball tracking algorithms for baseball and golf analytics.
- Optimize for integration into a mobile app compatible with both Android and iOS platforms.
- Ensure the mobile app delivers accurate analytics without the need for expensive, specialized equipment.
- Introduce a first-of-its-kind application to the sports market that provides professional-level analytics on consumer devices.
Our Approach
Utilizing YOLO and Deepsort algorithms for realtime ball detection and tracking
Optimized these models and converted to TensorFlow Lite models for efficient performance on both Android and iOS devices.
Our approach prioritized mobile compatibility and high accuracy without relying on expensive, specialized hardware.
Outcome
- Groundbreaking mobile app that delivered real-time ball tracking and player pose estimation for baseball and golf.
- Professional-level sports analytics accessible on standard Android and iOS devices, eliminating the need for expensive specialized equipment and revolutionizing sports analysis.
Published:
September 28, 2024
Category:
Edge Computing
Client:
Oceanthemes
