AI Tennis Ball Machine for Real-Time Biomechanical Feedback

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Traditional racket sports training lacks personalized, data-driven, and real-time analysis, limiting the effectiveness of coaching and increasing the risk of injuries during practice sessions with ball machines.

Innovation Solution

An AI-powered ball machine robot integrated with real-time video and sensor data analysis, providing immediate feedback and personalized dynamic training plans through a mobile application and cloud-based system.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional coaching methods are used, then coaching is provided by human coaches, but it lacks real-time data-driven analysis and immediate feedback

Engineering Contradiction:
Improvereal-time analysis precisionVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical system of human coach observation and analysis with an automated AI-based computer vision system. Multiple cameras capture player movements, and AI algorithms automatically analyze biomechanics, ball dynamics, and racket positioning in real-time, eliminating the need for manual measurement and analysis by human coaches.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service coaching by providing players with immediate automated feedback through mobile devices. The AI system independently performs data collection, analysis, and feedback delivery without requiring human coach intervention, allowing players to receive personalized coaching insights anytime during practice sessions.

Inventive Principle:
Principle #25Self-service

2Ease of operation

If professional coaches are used, then personalized guidance is provided, but it is expensive and not sustainably available

Engineering Contradiction:
Improvecoaching accessibilityVSAvoidcoaching cost
Core Design Contradiction:
Ease of operationVSQuantity of substance

Solution Approach 1:

The patent creates a digital copy of professional coaching capabilities through AI algorithms that replicate expert analysis. The system captures coaching knowledge in software form, allowing unlimited replication and distribution at minimal marginal cost, making professional-level coaching accessible to anyone with a smartphone without the high costs associated with hiring actual coaches.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The system serves multiple functions simultaneously: it acts as a coach, analyst, feedback provider, and training planner all in one automated platform. This multi-functionality consolidates what previously required multiple human professionals into a single affordable system that can serve unlimited users.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Loss of information

If comprehensive real-time analysis is implemented, then performance feedback is improved, but device complexity increases

Engineering Contradiction:
Improveinformation completenessVSAvoidsystem complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the complex analysis task into distinct functional modules: camera systems for data capture, AI algorithms for biomechanical analysis, ball tracking subsystems, and feedback generation components. Each module handles a specific aspect of analysis independently, making the overall complex system manageable and scalable while maintaining comprehensive information collection.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system introduces mobile devices as intermediaries between the complex analysis system and the player. The AI system processes comprehensive data and delivers simplified, actionable insights through familiar smartphone interfaces, mediating between raw data complexity and user-friendly feedback delivery.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250083020A1CourtAI: System and Method for Tennis Performance Improvement and Injury Protection Using Artificial Intelligence with Instant Feedback and Dynamic Training Plans
Publication Date: 2025.03.13 AGGARWAL AADIT
  • US20250083020A1 patent drawing
  • US20250083020A1 patent drawing
  • US20250083020A1 patent drawing

AI summary

CourtAI introduces an innovative approach to overcome several limitations associated with traditional coaching methods. Leveraging AI technology, the system meticulously analyzes player movement patterns, speed, and gameplay actions to formulate personalized game strategies and pinpoint areas for improvement. Advanced tracking software is integrated to observe the ball, racket, and player's movements, speed, and posture, providing immediate feedback for on-the-spot performance assessment during practice. Additionally, the system curates personalized training agendas and dynamically adjusts them based on real-time player performance. It enhances the training experience by delivering voice feedback, creating a more engaging learning environment. Moreover, CourtAI implements mechanisms to proactively address potential injuries by closely monitoring player actions.