Diamond Facet Imaging for Automated High-Clarity Grading
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Solution Overview
Problem
Current imaging systems lack sufficient spatial resolution, proper lighting conditions, and capability to examine diamonds from all facets, leading to inconsistent grading of high clarity diamonds, particularly VVS2, VVS1, IF, and Flawless diamonds, which are often graded manually and inconsistently.
Innovation Solution
A system utilizing a computer-controlled setup with a digital camera and multiple light sources for diffused, collimated, and dark field illumination to capture surface and internal images of diamonds from various angles and focal depths, enabling automated detection and classification of clarity features down to 3 micrometers in size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current imaging systems are used for clarity grading, then the grading process is simple, but the measurement precision and reliability are insufficient for high clarity diamonds
Solution Approach 1:
The imaging system is divided into multiple specialized subsystems: dark field illumination system for internal feature detection, collimated light system for surface feature detection, and multiple camera positions for different viewing angles. Each subsystem is optimized for specific detection tasks, enabling high precision clarity grading of VVS and IF diamonds while managing complexity through functional segmentation.
Solution Approach 2:
The system transitions from two-dimensional surface imaging to three-dimensional internal feature detection by implementing focal scanning through multiple focal planes (e.g., 0.3mm steps) and using dark field illumination to penetrate and reveal internal inclusions, feathers, and clouds within the diamond volume.
2Reliability
If manual visual evaluation is used for high clarity diamonds, then the equipment requirement is low, but the consistency and reliability of grading are poor
Solution Approach 1:
The system incorporates automated image analysis with feedback loops that compare detected features against established clarity criteria. Multiple images from different angles and focal depths are processed through algorithms that provide consistent, repeatable grading decisions, eliminating human subjectivity and achieving reliable grading consistency for VVS2, VVS1, IF, and Flawless categories.
Solution Approach 2:
The patent replaces manual visual evaluation (mechanical/human system) with an automated optical-digital system. Digital cameras capture images that are processed by computer algorithms, substituting human judgment with machine-based analysis to achieve objective, consistent clarity grading across all diamond samples.
3Difficulty of detecting and measuring
If single lighting condition imaging is used, then the imaging process is fast, but the detection capability for both surface and internal features is insufficient
Solution Approach 1:
The system uses periodic illumination with different lighting conditions (dark field, collimated, diffused) sequentially to capture images from multiple angles and focal depths. This periodic switching between illumination modes enables comprehensive detection of both surface and internal features while managing imaging time through automated sequencing of the multi-step imaging process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides consistent and accurate automated grading of high clarity diamonds by detecting surface and internal features from all facets, improving grading accuracy and efficiency compared to manual methods.
Implementation Method 1
cause illumination of the sample diamond table with dark field illumination
Implementation Method 2
cause illumination of the sample diamond facets, other than the table, with collimated light
Implementation Method 3
cause illumination a sample diamond table with diffused light
Data Source
AI summary
Systems and methods here may be used for a setup of image capturing of a gemstone, such as a diamonds that are of high clarity grades. The present embodiments can provide methods to capture a diamond surface and internal clarity features from a diamond table and through and of other facets. Systems and methods may be used to convert gemstone dimension information into azimuth, slope, and distance information and adjust the motorized stage accordingly for surface imaging. Further, a calibration method can consider the offsets between design and actual system alignment. A calibration process can be used to compensate the offsets. Further, an additional conversion can be derived to compensate the offset caused by the geometry of the gemstone. The methods can automatically capture surface reflection images on facets of the gemstone and internal features taken through facets of the gemstone.