Gemstone Classification via Multi-Spectral Imaging and AI
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Solution Overview
Problem
Existing methods fail to accurately distinguish between natural diamonds and synthetic or imitation diamonds, particularly when they are set in jewelry, and struggle to differentiate between various color categories and shades of diamonds.
Innovation Solution
The use of infrared (IR) imaging at defined temperatures, combined with ultraviolet (UV) imaging and AI-based algorithms, to capture and analyze IR and UV images of gemstones, allowing for precise classification and differentiation between natural, synthetic, and imitation diamonds, as well as various diamond categories and shades.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard UV imaging methods are used to classify gemstones, then the classification process is simple and quick, but the accuracy is insufficient to distinguish between natural diamonds and synthetic or imitation diamonds
Solution Approach 1:
The patent combines multiple imaging modalities (UV imaging, IR imaging, and visible light imaging) into a single integrated system. The UV imaging unit, IR imaging unit, and visible light imaging unit work together to capture complementary information about the gemstone, enabling accurate differentiation between natural and synthetic diamonds while maintaining operational efficiency.
Solution Approach 2:
The system utilizes multiple spectral parameters (UV range, IR range, and visible light range) to analyze the gemstone's properties. By examining the gemstone across different wavelength parameters, the system can identify characteristic signatures that distinguish natural diamonds from synthetic or imitation stones, significantly improving classification accuracy.
2Reliability
If multiple imaging techniques are combined to improve classification accuracy, then the differentiation capability between natural and synthetic diamonds improves, but the device complexity increases
Solution Approach 1:
The imaging system is designed with multi-functional capabilities where a single system performs UV imaging, IR imaging, and visible light imaging functions. This universal approach allows the system to reliably identify different types of gemstones (natural diamonds, synthetic diamonds, and imitations) using multiple imaging modalities integrated into one device, improving reliability without requiring separate standalone systems for each imaging type.
3Measurement precision
If AI-based algorithms are used to analyze images, then the classification precision and confidence level improve, but the processing time and computational requirements increase
Solution Approach 1:
The system performs preliminary image capture and preprocessing across multiple spectral ranges (UV, IR, visible light) before applying AI analysis. By pre-capturing all necessary imaging data simultaneously and preparing the images in advance, the system reduces the computational burden during the AI processing stage, thereby minimizing processing time while maintaining high classification precision.
Solution Approach 2:
The patent replaces traditional manual or rule-based image analysis methods with AI-based algorithms. The AI model automatically processes the multi-spectral images and provides precise classification with high confidence levels, eliminating the need for time-consuming manual examination while achieving superior accuracy in distinguishing natural diamonds from synthetic or imitation stones.
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
This approach significantly improves the accuracy of gemstone classification, enabling confident differentiation between different types of diamonds, even when set in jewelry, and provides a high degree of confidence in identifying the nature and category of gemstones.
Implementation Method 1
capturing, by an infrared sensor, a plurality of infrared images of the gemstone at a plurality of different temperatures
Implementation Method 2
analyze the plurality of infrared images... to obtain a classification descriptor for the gemstone based on the analyzed plurality of infrared images
Implementation Method 3
The apparatus may further comprise a ultraviolet radiation source configured to irradiate the one or more tested gemstones; and a ultraviolet sensor configured to capture ultraviolet images of the one or more tested gemstones
Data Source
AI summary
A method, system and apparatus for classifying one or more tested gemstones is disclosed. IR images of a tested gemstone are captured at one or more temperatures and analyzed to thereby classify the gemstone into type or class.