AI Tennis Ball Machine Control for Personalized Solo Training
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Solution Overview
Problem
Conventional tennis training systems lack the ability to provide a comprehensive training program that adapts to a player's athletic ability and posture, and they do not effectively evaluate and analyze performance, limiting the effectiveness of solo practice.
Innovation Solution
A tennis self-training system using artificial intelligence that includes a control device to record and analyze tennis games, determine player and ball positions, predict ball trajectories, and control a ball machine to launch balls based on player movements, while providing match analysis and customized coaching programs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a conventional ball machine throws balls according to stored training programs, then the ball throwing function is provided, but it cannot throw balls organically in response to player movement or position
Solution Approach 1:
The control device captures video of player movement and ball position, analyzes this data to determine optimal ball throwing parameters, and adjusts the ball machine's throwing behavior in real-time based on this feedback loop. This enables organic response to player movement while maintaining system manageability through automated video analysis algorithms.
Solution Approach 2:
The patent replaces manual referee judgment and complex mechanical ball positioning with video-based detection and control systems. The control device uses video analysis to automatically track player position and ball trajectory, substituting mechanical complexity with computational processing to achieve adaptive ball throwing.
2Adaptability or versatility
If an unmanned referee system is used, then refereeing functions are provided, but it lacks training function and cannot evaluate or analyze player athletic performance
Solution Approach 1:
The control device performs multiple functions: it acts as an unmanned referee by determining ball in/out status, simultaneously serves as a training system by analyzing player movement patterns, and provides performance evaluation through video analysis. This multi-functionality is achieved by processing video data for multiple purposes rather than requiring separate systems.
Solution Approach 2:
The patent combines the refereeing system and training analysis system into a single integrated control device. The same video capture and processing infrastructure used for ball tracking is also utilized for player movement analysis, merging multiple functions into one system to avoid additional complexity.
3Adaptability or versatility
If conventional training systems are used, then basic ball throwing is provided, but they cannot provide personalized training programs or posture correction
Solution Approach 1:
The system automatically analyzes player video data to generate personalized training programs and posture correction guidance without requiring external coaches or manual intervention. The control device processes player movement patterns and autonomously creates customized training content, enabling self-service personalization.
Data Source
AI summary
A tennis self-training system comprising a control device comprising recording unit configured to record a tennis game and a processor configured to analysis the tennis game based on a video obtained from the recording unit; and a ball machine unit configured to move and launch a ball according to the instructions of the control device; wherein the control device is configured to: determine the position of a player and the position of the ball machine unit based on the video, predict a falling position of the ball hit by the player based on the video, calculate a ball launch position and a ball arrival position of the ball machine unit based on the position of the player and the falling position of the ball, generate a control signal related to the ball launch position and the ball arrival position, transmit the control signal to the ball machine unit.


