Gem Clarity Grading With Quantified Inclusion Parameters

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

The clarity grading process for gems is subjective and lacks consistency due to the reliance on grader experience, as the influence of inclusion characteristics on clarity grades is not quantified, leading to variability in grading outcomes.

Innovation Solution

A method and system that quantifies inclusion parameters such as size, position, relief, number, and type to establish mathematical relationships for predicting clarity grades, using a look-up table and mathematical formulas to provide parameterized clarity grades based on inclusion parameter combinations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If clarity grading is performed based on grader experience and visual references, then grading flexibility is maintained, but grading consistency and objectivity deteriorate

Engineering Contradiction:

Improvegrading consistencyVSAvoidgrading system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent transforms subjective visual assessment into objective parameter measurement by quantifying inclusion characteristics (size, position, relief, number, type) and using these parameters in mathematical relationships to predict clarity grades, thereby improving consistency while managing complexity through systematic parameterization

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces the mechanical/subjective process of visual grading with a mathematical/model-based system that uses derived relationships between inclusion parameters and clarity grades to objectively predict outcomes, eliminating grader subjectivity while maintaining a structured approach

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If mathematical relationships are derived to model inclusion parameter interactions, then grading objectivity is improved, but data collection and model development complexity increases

Engineering Contradiction:

Improvegrading objectivityVSAvoidmodel development ease

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent performs preliminary data collection and mathematical relationship derivation during the model development phase, creating a lookup table and mathematical relationships that can be applied repeatedly without requiring new data collection, thereby achieving objectivity while managing development complexity through upfront preparation

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent creates a mathematical model and lookup table that replicate the grading decision process, allowing the system to predict clarity grades based on measured parameters without requiring actual physical reference samples for every possible inclusion combination, thus achieving objectivity while simplifying application

Inventive Principle:

Principle #26Copying

3Measurement precision

If extensive concrete examples of every inclusion combination are collected, then grading accuracy is improved, but cost and practicality deteriorate

Engineering Contradiction:

Improvegrading accuracyVSAvoiddata quantity required

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent extracts the essential grading information from concrete examples by deriving mathematical relationships that capture the influence of inclusion parameters on clarity grades, thereby achieving high grading accuracy without requiring extensive physical collections of reference samples for every possible inclusion combination

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS12380085B2Method and system for providing a clarity grade for a gem

Publication Date: 2025.08.05 GEMOLOGICAL INSTITUTE OF AMERICA INC

AI summary

A method and system for generating a clarity grading look-up table includes collecting actual inclusion parameter data for a plurality of gems, where the actual inclusion parameter data includes an actual clarity grade and an actual inclusion parameter data combination. A mathematical relationship between a clarity grade and a particular inclusion parameter combination is then extrapolated from the actual inclusion parameter data. A derived clarity grade is then assigned to a plurality of inclusion parameter combinations as a function of the mathematical relationship and a set of inputted inclusion parameters. Also, a method and system for providing a clarity grade includes receiving a plurality of inclusion characteristics associated with a gem and parameterizing each of the inclusion characteristics, so that a parameter value is assigned to each inclusion characteristic. The parameter values are then input to a mathematical formula so as to provide a parameterized clarity grade for the gem.