AI Optical Symmetry Grading for Loose Diamond Images
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Solution Overview
Problem
Existing methods for evaluating optical symmetry in diamonds, a crucial factor in cut quality, are inadequate for online diamond purchases as they require physical examination and are not standardized by major gemological laboratories, leaving consumers without accurate information.
Innovation Solution
An automated system using a convolutional neural network (CNN) trained on a curated database of pre-graded diamond images to analyze optical symmetry from digital images, identifying facet patterns and assigning grades based on symmetry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical examination with magnifying loupe is used to grade optical symmetry, then measurement precision is improved, but device complexity and operation difficulty increase
Solution Approach 1:
The patent uses digital images of diamonds as copies of the physical stones to evaluate optical symmetry. Instead of requiring physical examination with magnifying loupes, the system analyzes high-resolution digital images that capture the facet patterns and symmetry characteristics, thereby maintaining measurement precision while eliminating the need for complex physical examination equipment
Solution Approach 2:
The patent replaces the mechanical system of physical examination with a magnifying loupe by using computational image analysis. The system processes digital images through algorithms that detect and evaluate symmetry patterns, substituting the mechanical visual inspection process with an automated computational approach that achieves equivalent or superior precision
2Measurement precision
If manual grading by experienced gemologists is used, then measurement precision is improved, but loss of time and productivity decrease
Solution Approach 1:
The system enables self-service grading by allowing consumers to evaluate diamond optical symmetry independently through automated image analysis. The consumer can upload digital images of diamonds and receive objective symmetry grades without requiring expert gemologists, thereby maintaining precision while significantly improving productivity and accessibility
Solution Approach 2:
The patent substitutes the manual grading process performed by experienced gemologists with an automated computational system. The system uses image processing algorithms to objectively evaluate optical symmetry, eliminating human time constraints and increasing grading speed while maintaining consistent, bias-free precision
3Measurement precision
If hearts and arrows scope is used to analyze optical symmetry, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses standard digital images as substitutes for the specialized hearts and arrows scope imagery. Instead of requiring consumers to access expensive analytic scope equipment, the system works with readily available digital photographs that capture the necessary optical symmetry information, maintaining precision while dramatically reducing equipment complexity and cost
Solution Approach 2:
The system replaces the expensive, specialized hearts and arrows scope with ordinary digital imaging technology. The patent demonstrates that standard digital photographs can serve the same evaluative function, making the solution more accessible and economically viable for consumers while maintaining adequate measurement precision
4Reliability
If major gemological laboratories grade diamonds based on proportions and physical symmetry, then reliability is improved, but loss of information occurs regarding optical symmetry
Solution Approach 1:
The patent segments the cut quality evaluation into distinct components: proportions, physical symmetry, and optical symmetry. By treating optical symmetry as a separate, independently gradeable attribute rather than subsuming it within existing categories, the system maintains the reliability of established grading methods while adding comprehensive optical symmetry information that was previously lost
Data Source
AI summary
According to one embodiment, there is presented herein a method of automatically evaluating the optical symmetry of a loose diamond. In more particular, the instant invention utilizes an AI system that has been trained using a curated database of optically graded diamond images to recognize degrees of optical symmetry. Images of other diamonds can then be presented to the trained AI system in order to obtain an estimate of an optical symmetry grade of the pictured diamond.


