Swupnil Sahai
CEO
SwingVision
SwingVision utilizes real-time AI video processing to provide automated statistics, shot tracking, and line calling for amateur athletes in racket sports. This technology enables players to analyze their performance, improve their skills, and resolve line disputes without the need for manual scoring or officiating.
- Artificial Intelligence
- Data & Analytics
- Software Only
- Sports Technology
Updated 23 months ago
Funding
Raised to date
$6.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Amateur athletes in racket sports often lack access to the advanced performance analytics and officiating tools available to professionals. Manual scoring and subjective line calls can lead to inaccuracies and disputes, hindering skill development and fair play.
Solution
SwingVision provides real-time AI-powered video analysis for racket sports, delivering automated statistics, shot tracking, and line calling using only a smartphone or tablet. The platform leverages computer vision and machine learning algorithms to process video feeds, identify shot types, measure ball speed, and determine shot placement with high accuracy. Players can review match footage with automatically generated highlights and detailed performance metrics, enabling data-driven improvements. The system also facilitates objective line calling, resolving disputes and promoting fair competition.
Target Audience
The primary target audience includes amateur tennis players, coaches, and clubs seeking affordable and accessible tools for performance analysis and objective officiating.
Features
- Real-time video processing using the device's Neural Engine for on-the-spot analysis without internet connectivity
- Automated shot classification, including serve type (flat, slice, kick, topspin), forehand/backhand, and volley/groundstroke
- Ball speed measurement and shot placement tracking with accuracy comparable to professional systems
- Line calling with 97% accuracy for shots landing within 10 cm of the line, enabling challengeable calls via Apple Watch
- Automatic removal of dead time between points, allowing users to watch a two-hour match in as little as 20 minutes
- Highlight reel generation based on shot type, point outcome, or custom filters
- Integration with Apple Watch for scorekeeping and remote control of recording
- Cloud storage and sharing options for match videos and statistics