Projected Putting Trajectory Guidance for Compact Golf Terminals

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Solution Overview

Problem

Existing portable terminals used in indoor golf practice ranges for putting training are miniaturized and simplified, limiting their storage space and functionality, and there is a need for improved space utilization and design while maintaining effective training services.

Innovation Solution

A system comprising a main server, local server, store terminal, camera device, and projector that collects data, performs simulations, selects optimal putting trajectories, and projects them onto the putting field, allowing for compact terminals with enhanced training features.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If portable terminals are miniaturized and simplified to fit store design and space utilization requirements, then space utilization and design are improved, but storage space and functions are reduced

Engineering Contradiction:
Improvespace utilizationVSAvoidfunctionality
Core Design Contradiction:
Area of stationary objectVSAdaptability or versatility

Solution Approach 1:

The system divides functionality between multiple components: simple portable terminals in stores and a cloud-based server that handles complex processing. The terminal only needs basic display and input functions, while trajectory calculation, simulation, and data storage are performed remotely, allowing the terminal to remain compact without sacrificing functionality.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

A cloud server acts as an intermediary between the user and the system resources. The portable terminal communicates with the server, which provides access to extensive computational resources, storage, and processing power without requiring these resources to be physically present in the terminal device.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If portable terminals are miniaturized and simplified, then device complexity is reduced, but storage space and functions are limited

Engineering Contradiction:
Improveterminal complexityVSAvoidstorage space
Core Design Contradiction:
Device complexityVSQuantity of substance

Solution Approach 1:

The system moves storage and processing capacity from the physical dimension (local terminal storage) to the network dimension (cloud storage). The terminal accesses trajectory data, simulation results, and system parameters through network communication rather than local storage, effectively providing unlimited storage space without increasing terminal size.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Adaptability or versatility

If comprehensive putting training services are provided, then service quality is improved, but terminal functions and storage requirements increase

Engineering Contradiction:
Improveservice qualityVSAvoidterminal functions
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system enables self-service by automatically calculating optimal trajectories, performing simulations, and providing guidance without requiring complex terminal functions. The server autonomously processes user input, performs complex calculations, and delivers results, allowing the terminal to remain simple while providing comprehensive services.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12485336B2Method for providing optimal putting path
Publication Date: 2025.12.02 VROTEIN INC
  • US12485336B2 patent drawing
  • US12485336B2 patent drawing
  • US12485336B2 patent drawing

AI summary

The present disclosure relates to a method for providing an optimal putting path performed by a system and relates to a technology of collecting data about a putting field of each store from at least one store terminal and performing a simulation of putting performed at a plurality of positions within the putting field installed in each store, selecting trajectory data of a ball entering a hole cup among trajectory data for a plurality of balls derived from a simulation result and selecting an optimal putting trajectory, and then projecting the optimal putting trajectory onto the putting field through a projector.