Autonomous Tennis Assistant System for Solo Practice

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Solution Overview

Problem

Players in sports like tennis face challenges with cumbersome retrieval of multiple balls during practice or matches, inaccurate manual tracking of performance metrics, and subjective determination of ball placement within court boundaries, especially when practicing alone.

Innovation Solution

An autonomous tennis assistant system comprising an autonomous tennis ball ejection robot and a base station that can eject and retrieve tennis balls, detect player locations, and automatically generate performance metrics, using computer vision and navigation to ensure accurate ball placement and efficient ball management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual tracking of performance metrics is used, then players can monitor their performance, but human error reduces accuracy

Engineering Contradiction:
Improveperformance metrics accuracyVSAvoidtracking reliability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent replaces manual mechanical tracking with an automated computer vision system using cameras and image processing algorithms to detect ball locations, player positions, and court boundaries, eliminating human error in performance metric tracking

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

Solution Approach 2:

The system automatically generates performance metrics and statistics without requiring player intervention, with the computer vision system self-processing video feeds to produce accurate tracking data

Inventive Principle:
Principle #25Self-service

2Measurement precision

If players determine ball placement subjectively, then they can assess ball location, but error rates increase significantly

Engineering Contradiction:
Improveball placement accuracyVSAvoiddetermination reliability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent replaces subjective human visual assessment with an automated computer vision system that uses image processing to objectively determine ball placement relative to court boundaries, significantly improving accuracy and eliminating human error

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

3Productivity

If multiple tennis balls are used during practice, then players can maintain continuous practice, but retrieval becomes cumbersome and time consuming

Engineering Contradiction:
Improvepractice continuityVSAvoidball retrieval time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system features an autonomous ball retrieval mechanism that automatically collects used balls from the court and returns them to the ball hopper without player intervention, maintaining continuous practice while eliminating retrieval time

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent introduces an autonomous agent (the ball retrieval system) that mediates between the player and the balls, handling all ball collection and return operations automatically

Inventive Principle:
Principle #24Intermediary (Mediator)

4Adaptability or versatility

If players practice alone, then they can train independently, but they lack an opponent for complete gameplay

Engineering Contradiction:
Improvesolo practice capabilityVSAvoidpractice completeness
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system enables self-practice by having the machine serve balls autonomously to the player, allowing independent training without requiring another player while maintaining complete gameplay scenarios

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20230381585A1Automated generation of tennis statistics
Publication Date: 2023.11.30 TENNIBOT INC
  • US20230381585A1 patent drawing
  • US20230381585A1 patent drawing
  • US20230381585A1 patent drawing

AI summary

Systems, methods, and computer-readable media are disclosed for autonomous tennis assistant systems that may automatically determine performance metrics and generate tennis statistics. Example methods include determining, by a device, various performance metrics for users via images captured during gameplay. For example, the device may determine whether a tennis ball landed within, outside, or on a boundary line, whether a point was scored, a ball speed of a tennis ball, topspin of a tennis ball, a type of stroke used to hit a tennis ball, whether a tennis match was won, hitting accuracy of a player, distance moved by a player, and/or other metrics. A base station may be used to provide image data for use by the tennis ball ejection robot from one or more additional vantage points.