Normalized nesting cube and mapping system for machine learning to color coordinate products, patterns and objects on a homogenized ecommerce platform

Abstract

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.

Dependencies are inferred from the claim text.