Golf Equipment Optical Pattern Recognition for Automatic Identification
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Solution Overview
Problem
Existing golf swing analysis systems require manual entry of club and ball types, leading to human error and inefficiency, and struggle with ambient light interference and complex image processing in outdoor environments.
Innovation Solution
An optical pattern recognition method that automatically identifies golf clubs and balls using stored reference images and mathematical algorithms, such as Eigen values, to compare images of moving objects and determine their type within seconds, potentially using markers responsive to different light spectra or inherent features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual entry of club and ball types is used, then data can be recorded, but human error increases and analysis time is extended
Solution Approach 1:
The system automatically identifies golf clubs and balls using optical pattern recognition and image processing, eliminating the need for manual data entry by operators. The camera system captures images and the computational device automatically determines equipment types through pattern matching algorithms
Solution Approach 2:
The patent replaces manual mechanical data entry with an automated optical detection system. A camera captures images of the golf equipment, and a computational device processes these images using pattern recognition algorithms to automatically identify club and ball types, substituting human operation with automated imaging and processing
2Measurement precision
If markers are used to improve contrast in outdoor environments, then image quality improves, but system complexity increases
Solution Approach 1:
The patent utilizes fluorescent markers that emit light at specific wavelengths when excited by UV or blue light sources. These markers create high-contrast images against the natural background, enabling clear detection of golf equipment features in outdoor environments. The system captures fluorescence emissions to distinguish equipment patterns
Solution Approach 2:
The patent introduces fluorescent markers as intermediary elements that enhance the detectability of golf equipment. These markers serve as mediators between the equipment and the camera system, converting subtle visual features into high-contrast fluorescent signals that are easily captured and processed by the imaging system
3Loss of information
If multiple camera systems are used to capture different markers, then comprehensive data is acquired, but system complexity and processing burden increase
Solution Approach 1:
The patent employs a single camera system that performs multiple functions: capturing visible light images, detecting fluorescent emissions, and acquiring UV-responsive marker data. This multi-functional approach consolidates what would traditionally require multiple separate camera systems into one versatile imaging device
Solution Approach 2:
The patent combines multiple detection capabilities (visible light imaging, fluorescence detection, UV marker recognition) into a single integrated camera system. By merging these functions, the system reduces hardware complexity while maintaining comprehensive data acquisition capabilities for identifying golf equipment patterns
Data Source
AI summary
A method for automatically identifying an object is disclosed. Preferably, the method is used in conjunction with a performance monitor. A set of markers are selectively positioned on the surface of each of a plurality of golf clubs and golf balls. It is desired that each set of markers for a unique pattern on each of the golf clubs and golf balls. Each unique pattern is preferably acquired and stored. A player may choose any of a plurality of golf clubs and golf balls. When within the field of view of the performance monitor, the pattern on the club and ball is automatically matched with the stored patterns, thereby identifying the type of club and ball.