Golf Ball Scan Analysis for Personalized Playability Assessment
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Solution Overview
Problem
There is a need for techniques to scan a golf ball and assess its attributes and compatibility with a player, considering the player's preferences and characteristics, to provide personalized recommendations.
Innovation Solution
A computer program product that analyzes a golf ball scan using identification and damage analysis algorithms, compares user data with golf ball attributes, and provides compatibility and playability scores, offering personalized recommendations based on player-specific information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inspection and identification of golf ball attributes is used, then assessment accuracy may be maintained, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent replaces manual mechanical inspection with automated image processing and machine learning algorithms. The system uses computer vision to capture golf ball images, extracts visual features automatically, and identifies ball attributes through algorithmic analysis rather than human inspection, thereby increasing productivity while managing system complexity through software-based solutions.
Solution Approach 2:
The patent creates digital copies (images) of the golf ball and analyzes these copies to extract attributes. Instead of physically handling and inspecting the actual ball, the system captures visual information and processes the digital representation, enabling rapid assessment without direct mechanical interaction with the physical object.
2Measurement precision
If generic golf ball assessment is used, then broad applicability is achieved, but personalized recommendations and measurement precision for individual players deteriorate
Solution Approach 1:
The patent applies local quality by tailoring the assessment to individual player characteristics. The system analyzes golf ball attributes in the context of specific player profiles, providing customized recommendations based on individual playing styles, skill levels, and preferences rather than applying uniform assessment criteria to all users.
Solution Approach 2:
The system performs preliminary actions by collecting and storing player profile information in advance. Before conducting the golf ball assessment, the system has already gathered data about the player's characteristics, preferences, and playing style, enabling personalized analysis and recommendations during the actual assessment process.
3Reliability
If comprehensive player data collection is implemented, then recommendation accuracy improves, but information processing complexity and time requirements increase
Solution Approach 1:
The patent collects and processes player information in advance, building comprehensive player profiles before the actual golf ball assessment. This preliminary data collection enables the system to have player characteristics ready when needed, reducing processing time during the actual assessment while maintaining recommendation reliability through thorough pre-gathering of relevant information.
Data Source
AI summary
The present teachings include computer program products, systems, methods, and platforms for scanning a golf ball (or similar) by a user (e.g., using a smartphone while on a golf course, driving range, practice area, pro shop, or similar) to identify and assess attributes and features thereof, such as manufacturer/brand, model, condition, playability, and so on. The present teachings may also or instead provide advantages and/or disadvantages related to playing with a certain type and/or condition of golf ball or the like, and make recommendations for golf balls for a user, where such information may be customized to the particular user—e.g., via a user inputting, or the system otherwise retrieving, information related to play and/or preferences of the user, such as the user's handicap or skill level, playing style, desired distance and/or trajectory, age, weight, gender, physical fitness level and/or strength, handedness, value preference, expected durability, and so on.