Universal Color Language Model for RGB Data Indexing

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Solution Overview

Problem

Current systems lack the ability to effectively index and search for products based on color due to the subjective nature of color description and the lack of a universal color language model, leading to inconsistent color representation and unreliable search results.

Innovation Solution

A universal color data mapping language model is developed to translate and index both digital and non-digital color mediums into a standardized format, allowing for accurate color-based searching and data analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If text-based searching is used to search for products by color, then the search system is simple to operate, but the search results are unreliable and incomplete

Engineering Contradiction:

Improvesearch result reliabilityVSAvoidsearch system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary layer between the user's text input and the product database. A natural language processing module translates text descriptions into color specifications, which then query the product database. This intermediary resolves the contradiction by enabling reliable color-based search without requiring complex direct color input interfaces from users.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the mechanical text-matching system with an AI-based semantic understanding system. Instead of simple string comparison, the system uses natural language processing and color science algorithms to interpret text descriptions and match them with actual product colors, significantly improving search reliability while maintaining operational simplicity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If multiple color naming conventions are used by different vendors, then each vendor can describe colors in their preferred format, but color consistency across products is poor

Engineering Contradiction:

Improvecolor description flexibilityVSAvoidcolor consistency

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The patent creates a universal color representation system that can handle multiple input formats (text descriptions, color names, hex codes, RGB values) and converts them all into a standardized internal color space. This universal system maintains adaptability to different vendor formats while ensuring color consistency across all products through standardized color processing and comparison algorithms.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Measurement precision

If digital color coordinates are used to represent color, then the color representation is precise for machines, but it is not distinguishable to the human eye

Engineering Contradiction:

Improvecolor measurement precisionVSAvoidhuman color discrimination

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The patent introduces color science algorithms as an intermediary layer that converts machine precision color coordinates into human-perceptible color descriptions. The system uses color difference formulas and perceptual uniformity models to translate RGB values into meaningful color names and descriptions that match human visual discrimination, bridging the gap between machine precision and human perception.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Adaptability or versatility

If color-based searching is implemented in text-based systems, then color search capability is added, but the search accuracy remains low

Engineering Contradiction:

Improvecolor search capabilityVSAvoidcolor search accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent replaces simple text-matching mechanics with AI-based semantic analysis and color science computation. The system uses natural language processing to understand color descriptions, applies color conversion algorithms to translate between color spaces, and uses perceptual color difference models to determine color matches, dramatically improving search accuracy while maintaining color search capability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250037368A1Universal color language model to map and index data points for machine learning and artificial intelligence

Publication Date: 2025.01.30 ZENCOLOR GLOBAL LLC

AI summary

A computer-implemented method for homogenizing a RGB digital color cube into a smaller and usable subset. Fixed coordinates of the RGB digital color space are merged into a color cube, mapped to distinct hue corner sides and layers that get progressively smaller until sides of the color cube converge in a center point of a three-dimensional nesting cube model to form a merged three-dimensional color nesting cube comprising a plurality of individual nesting cubes. Duplicate colors in the RGB digital color space that are not distinguishable to a human eye are consolidated to obtain a smaller and usable digital color space. The smaller and usable digital color space are organized into equidistant color buckets to provide an orientation throughout the merged three-dimensional color nesting cube. Each cube of the merged three-dimensional nesting cube represents a unique color mapping code of a universal digital data-mapping color language model.