Normalized Color Nesting Cube for E-Commerce Product Matching
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Solution Overview
Problem
Current systems lack the ability to effectively normalize and codify color data, leading to difficulties in color-based searching and analysis, particularly in e-commerce and supply chain management.
Innovation Solution
A system and method for normalizing, codifying, and categorizing divergent color systems into a universal color language/system, utilizing a server connected to a communications network to process and convert color data from various sources into a common format, allowing for efficient color-based searches and product matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If text-based searching is used for color, then the search system is simple to implement, but it cannot accurately distinguish specific color shades
Solution Approach 1:
The patent introduces color swatches as intermediary objects between text-based search and actual color data. Each swatch contains a color value (RGB/CMYK) and associated metadata, serving as a bridge that enables precise color searching without requiring complex image processing infrastructure. The swatch acts as a mediator that translates user color selection into searchable color coordinate data.
Solution Approach 2:
The patent transforms color representation from text labels to numerical color coordinates (RGB/CMYK values). By changing the parameter representation from qualitative text to quantitative color values, the system enables precise color shade distinction while maintaining search functionality through coordinate-based querying and filtering.
2Adaptability or versatility
If color data from multiple merchants is collected, then color trend analysis capability is improved, but data normalization and codification becomes difficult
Solution Approach 1:
The patent creates a universal color data structure that can accommodate color information from multiple merchants with different naming conventions and formats. The standardized swatch object with RGB/CMYK values serves as a universal container that harmonizes diverse color data sources, enabling cross-merchant color trend analysis while maintaining data integrity through consistent codification.
Solution Approach 2:
The patent standardizes color data by transforming various merchant-specific color representations into a common parameter system (RGB/CMYK coordinates). This parameter unification allows diverse color data to be normalized and codified automatically, reducing the complexity of data integration while enabling versatile color trend analysis across multiple merchants.
3Measurement precision
If color swatches with color values are implemented, then color-based searching accuracy is improved, but the system requires more complex data structures
Solution Approach 1:
The patent creates simplified color swatch objects that copy and store essential color information (color values, names, coordinates) without requiring complex image processing. Each swatch is a lightweight data structure that replicates the necessary color attributes, enabling accurate color searching while keeping the data structure manageable and efficient.
Data Source
AI summary
A computer-implemented method for normalizing a RGB (red, green, blue) digital color space into a universal digital color standard. The RGB digital color space is mapped into a three-dimensional color cube. The sides of the three-dimensional color cube get progressively smaller until the sides converge in a center point of the three-dimensional color cube to form a three-dimensional color nesting cube. Duplicate colors in the RGB digital color space that are not distinguishable to a human eye are consolidated to obtain a normalized color space. The normalized color space is organized into swatch buckets to obtain a normalized three-dimensional color nesting cube. Each cube of the normalized three-dimensional color nesting cube represents a unique mapping code of the universal digital color standard.