Rough Gemstone Re-Identification Using 3D Silhouette Fingerprints
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Solution Overview
Problem
Existing methods fail to accurately track and re-identify rough gemstones, particularly diamonds, from mine to consumer, lacking a reliable method to confirm authenticity, origin, and prevent the trade of conflict diamonds.
Innovation Solution
A method involving generating a 3D model from 2D silhouette images, processing these images to derive a dataset, and comparing it with existing datasets using geometric features and statistical operations to re-identify the gemstone, with the dataset potentially stored on a blockchain for verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional tracking methods are used for rough gemstones, then the process is simple, but the accuracy of re-identification and tracking is insufficient
Solution Approach 1:
The patent uses optical property changes of rough gemstones under different lighting conditions to generate unique identification patterns. The system captures images under multiple lighting angles and uses the varying optical reflections and refractions to create a fingerprint-like dataset that uniquely identifies each stone, thereby improving re-identification accuracy without requiring complex physical modifications to the stones.
Solution Approach 2:
The patent creates a digital copy or dataset representing the optical properties of each rough gemstone. This digital fingerprint is stored and used for comparison during tracking and verification processes, enabling accurate re-identification without needing to physically handle or re-measure the actual stones, thus reducing complexity in the tracking system.
2Reliability
If detailed measurements are taken to ensure accurate tracking, then the tracking precision improves, but the time and resources required increase
Solution Approach 1:
The patent performs optical property measurements and creates identification datasets during the initial sorting and classification of rough gemstones. By capturing images and generating fingerprints at the earliest stage in the supply chain, the system establishes reliable tracking data before the stones move through subsequent processing stages, eliminating the need for repeated detailed measurements later and reducing overall time loss.
3Productivity
If manual verification methods are used, then the process is straightforward, but the productivity and efficiency of gemstone tracking decrease
Solution Approach 1:
The patent replaces manual visual inspection and verification processes with an automated optical imaging and image processing system. The system uses cameras to capture images of rough gemstones under controlled lighting conditions and employs algorithms to analyze optical properties and generate identification datasets, thereby significantly improving tracking efficiency while managing automation complexity through software-based solutions.
Data Source
AI summary
A method of re-identifying a rough gemstone comprises providing a 3D model of a first rough gemstone; generating a series of virtual 2D silhouette images of the 3D model; processing each 2D image of the series of virtual 2D silhouette images to obtain a dataset associated with the first rough gemstone; and comparing the dataset of the first rough gemstone with an existing dataset of a rough gemstone. Where the dataset of the first rough gemstone and the existing dataset match each other, the method comprises re-identifying the first rough gemstone as the same rough gemstone from which the existing dataset was obtained.