Gemstone 3D Modeling for Traceability via Junction Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional 3D modeling techniques for gemstones, such as diamonds, lack accuracy in determining cut and symmetry parameters, leading to inaccuracies in grading and certification, and fail to reveal extra or missing edges, facets, and junctions, which are crucial for authenticating and trading gemstones effectively.
Innovation Solution
A computerized method that involves obtaining an original 3D model of a gemstone's external surface, imaging selected junctions under different conditions to enhance contrast between facets, and analyzing the images to produce a more accurate 3D model, revealing additional or erroneous features, thereby improving grading and authentication processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional 3D modeling techniques are used for gemstones, then the modeling process is simple and fast, but the accuracy of cut and symmetry parameters is insufficient
Solution Approach 1:
The gemstone surface is divided into multiple regions of interest (ROIs), with junctions identified as critical segmentation points where multiple facets converge. By focusing imaging and analysis on these segmented critical areas rather than the entire surface, the system achieves higher measurement precision for cut and symmetry parameters while managing device complexity through targeted rather than comprehensive scanning.
Solution Approach 2:
The system transitions from conventional 2D imaging to multi-angle 3D imaging by capturing images of junctions from multiple perspectives and combining them to reconstruct accurate 3D geometry. This dimensional approach enables precise determination of facet orientations, edge positions, and junction coordinates, resolving the accuracy limitation of conventional techniques.
2Loss of information
If conventional 3D modeling is used, then the process is quick, but extra or missing edges, facets, and junctions are not revealed
Solution Approach 1:
The system performs preliminary identification of junctions and regions of interest based on initial 3D model data before conducting detailed imaging and analysis. This preliminary action allows the system to target specific critical areas for enhanced scanning, ensuring that extra or missing features are detected while minimizing the time lost to comprehensive scanning of the entire gemstone surface.
Solution Approach 2:
The system creates multiple virtual copies of the gemstone model from different imaging angles and combines them to form a comprehensive 3D reconstruction. By comparing these copied models, the system can identify discrepancies such as extra or missing edges, facets, and junctions that would be invisible in a single conventional model, thereby reducing information loss.
3Measurement precision
If detailed imaging of junctions is performed, then measurement accuracy is improved, but the complexity of the imaging process increases
Solution Approach 1:
The system employs automated algorithms that self-identify junctions and regions of interest from initial scan data, then automatically plan and execute detailed imaging sequences for those specific areas. The analysis software automatically processes the captured images, identifies geometric features, and updates the 3D model without requiring manual intervention, thereby maintaining measurement precision while simplifying operation.
Solution Approach 2:
The system dynamically adjusts imaging parameters such as resolution, illumination angles, and focal depth based on the identified region of interest. By changing these parameters adaptively for junction areas versus other surfaces, the system achieves high measurement precision for critical features while keeping the overall imaging process manageable and operationally simple.
Data Source
AI summary
A method generating a more accurate 3D model for at least two gemstones using external surface of the gemstones; storing, in memory, the more accurate 3D model of the first gemstone and the second gemstone; comparing the more accurate 3D model of the first gemstone and the more accurate 3D model of the second gemstone from the stored memory; calculating, based on the comparison, a matching score for the more accurate 3D model of the first gemstone and the more accurate 3D model of the second gemstone, the matching score being informative of a match between the first gemstone and the second gemstone; and identifying the first gemstone and the second gemstone as being the same gemstone when the matching score meets a predefined matching criterion.