Interactive AI Golf Assistant With RTK Course Mapping
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Solution Overview
Problem
Golfers face challenges in navigating the unique characteristics of different golf courses, including judging distances, avoiding hazards, and making effective shots, which can be frustrating even for professionals.
Innovation Solution
An interactive AI golf assistant system that provides real-time guidance using voice commands, hand gestures, and augmented reality glasses, leveraging machine learning and GPS/RTK technology to analyze the golfer's tendencies and course data, offering personalized shot recommendations and hazard avoidance strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If golfers rely on their own judgment and experience to navigate course characteristics, then they maintain independence and avoid external assistance, but they face frustration and inconsistent performance due to the inability to accurately judge distances, avoid hazards, and make effective shots on varying courses
Solution Approach 1:
The patent introduces an AI assistant system as an intermediary between the golfer and the course environment. The system processes course data, hazard locations, and shot parameters to provide recommended shots that help golfers navigate challenging course characteristics. This mediator bridges the gap between golfer capability and course difficulty, improving shot consistency without requiring the golfer to independently master all course navigation skills
Solution Approach 2:
The patent replaces the mechanical system of human judgment and physical measurement with an AI-based computational system. Instead of relying on the golfer's eye judgment for distance and hazard avoidance, the system uses processors to analyze course data, calculate optimal shot parameters, and provide automated recommendations. This substitution transforms the manual navigation process into an automated intelligent system that consistently handles complex course variables
2Measurement precision
If an AI assistant system is introduced to provide real-time guidance and shot recommendations, then shot accuracy and performance are improved, but the complexity of the system increases with multiple components including processors, databases, and interaction interfaces
Solution Approach 1:
The patent designs the AI assistant system to perform multiple functions within a unified architecture. The same processor that analyzes course data also generates shot recommendations, the database stores both course information and user preferences, and the interface handles both visual display and voice interaction. This multi-functionality reduces the need for separate specialized components, managing system complexity while maintaining high shot accuracy through integrated processing
Solution Approach 2:
The patent implements a nested system structure where the AI assistant module is integrated within a broader golf application ecosystem. The core AI processing engine is nested within the application layer, which in turn is nested within the user interface layer. This hierarchical nesting allows the complex AI functions to be encapsulated in a manageable core, with layers of abstraction that simplify interaction while preserving the sophisticated shot accuracy capabilities
3Productivity
If the AI golf assistant provides comprehensive real-time recommendations for every shot, then golf performance is maximized, but the interaction time and decision-making process are extended
Solution Approach 1:
The patent implements preliminary action by pre-calculating and storing optimal shot parameters, hazard avoidance strategies, and course navigation routes before the golfer reaches each location. The system proactively prepares recommended shots based on anticipated positions and course conditions, so that when the golfer needs guidance, the recommendations are already available instantaneously. This eliminates real-time calculation delays while maintaining comprehensive guidance
Solution Approach 2:
The patent enables the golfer to skip through the decision-making process by providing pre-computed shot recommendations that can be accepted with minimal interaction. Instead of requiring the golfer to analyze multiple options and deliberate, the system presents the optimal shot recommendation directly, allowing the golfer to quickly move from position to shot execution. This rushing through of the decision process maintains scoring efficiency while reducing time spent on each shot
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances golfing performance by providing precise shot suggestions, improving shot accuracy, and reducing penalties, while allowing users to practice and improve their skills through data analysis and virtual golf experiences.
Implementation Method 1
The AI golf assistant module 150 includes at least one artificial intelligence and machine learning processor 122
Implementation Method 2
leveraging machine learning and GPS/RTK technology to analyze the golfer's tendencies and course data
Data Source
AI summary
The embodiments disclose a system for interactively providing golf swing guidance to a user on a golf course including a database coupled to a remote server to collect, store and maintain updated topography of golf courses based on LIDAR, a club sensor configured to removably attach to one or more portions of the golf club and further configured to collect the club sensor golf club swing data as the user operates the golf club in a practice swing, a remote server configured to interactively identify a location of a user on the LIDAR topography when positioned at a golf course using a real-time kinematics device, a user audio device wirelessly coupled to the remote server configured to interactively communicate feedback guidance to and from the user of golf club selection and golf club swing adjustments.