Basketball Training System with Computer Vision Feedback
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Solution Overview
Problem
Basketball players face limitations in simulating game-like conditions during practice, as existing training systems fail to effectively replicate the speed and variability of game scenarios, leading to suboptimal skill development and scoring abilities as players advance in levels.
Innovation Solution
A basketball training system incorporating a computer vision sensor, processors, and a computer-readable storage medium that detects shots, analyzes player form, and provides real-time feedback, allowing for controlled ball delivery and personalized drill recommendations based on performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a player practices shooting individually without other players present, then the player can develop ball handling and shooting skills through repetition, but the practice conditions do not effectively simulate game-like speed and pressure
Solution Approach 1:
The system uses computer vision sensors to capture and analyze player movements, creating a digital copy of game-like conditions through virtual reality overlays and performance feedback. This allows individual practice to replicate the visual and analytical aspects of game scenarios without requiring other players physically present.
Solution Approach 2:
The patent replaces the mechanical presence of other players with an automated ball return system and computer vision analysis system. The ball return mechanism automatically delivers balls to simulated game positions, while sensors track and analyze player responses as if defending against real opponents, substituting physical interaction with automated systems.
2Measurement precision
If a player practices from fixed locations with consistent conditions, then the player can improve shooting technique, but the player cannot adapt to varying shot locations and distances encountered in game conditions
Solution Approach 1:
The system dynamically adjusts practice conditions by varying ball delivery locations, angles, and distances through the automated ball return mechanism. The computer vision system continuously tracks player position and adjusts feedback to maintain technique consistency across varying locations, enabling adaptation to dynamic game-like scenarios while preserving shooting form.
Solution Approach 2:
The training system serves multiple functions: it provides consistent technical feedback for form correction while simultaneously varying practice locations and conditions to build adaptability. The computer vision system analyzes shooting technique universally across different positions, allowing the same system to enforce consistency while promoting versatility.
3Productivity
If a player rebounds their own shots during individual practice, then the player can maintain practice continuity, but time is wasted in the rebounding process that could be used for taking more shots
Solution Approach 1:
The automated ball return system serves itself by automatically retrieving and redelivering balls without human intervention. The system self-manages the ball flow, sensing when a shot is taken and automatically returning the ball to the appropriate delivery location, eliminating the need for manual rebounding while maintaining continuous practice flow.
Solution Approach 2:
The patent replaces the manual rebounding action with an automated mechanical ball return system. Sensors detect shot outcomes and trigger the ball delivery mechanism to return balls automatically, substituting the player's manual rebounding effort with an automated system that operates continuously without time loss.
4Loss of information
If existing training systems are used without computer vision analysis, then the system is simpler and less costly, but real-time performance analysis and feedback are not available
Solution Approach 1:
The computer vision system serves multiple functions simultaneously: it captures performance data, analyzes shooting technique, tracks player position, and provides real-time feedback. This multi-functional approach consolidates what would otherwise require separate systems into a single integrated solution, reducing overall complexity while maximizing information capture.
Data Source
AI summary
A basketball training system that includes one or more of a basketball delivery machine, a computer vision sensor, one or more processors, and a computer-readable storage medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations. The operations can include detecting a made or missed shot, identifying indexed video and/or pose information for the shot, tagging video and/or pose information with make or miss.