Investigating Jewels TRIZ Cases

See how a two-stage cooling block and cold finger apparatus rapidly cools gems to cryogenic tem

See how a high-capacity copper cooling block with thermal conduction placement enables rapid ge

A scanable indicia placed between a gemstone's table and culet makes authenticity readable without magnification while preserving appearance.

Laser-formed QR indicia inside a gemstone create readable contrast for authentication and data scanning without magnification or aesthetic loss.

A dichroic beam splitter keeps UV excitation and image capture on one fixed interface, enabling repeatable gemstone fluorescence analysis.

Multiple illumination modes, gemstone rotation, and depth-of-focus imaging improve clarity grading consistency and reduce manual subjectivity.

Pulsed UV at 225 nm or less compares crown and pavilion luminescence to identify doublet gemstones with natural and synthetic layers.

A dichroic beam splitter and flat stage enable repeatable UV fluorescence imaging of gemstones without complex aiming or sample-specific adjustments.

A stable camera stand and vertically adjustable base let jewelers and buyers inspect close-up jewelry images together.

A single probe merges thermal conductivity and UV optical sensing to distinguish natural and synthetic diamonds from moissanite and cubic zirconia.

A rotatable diamond clip and two-axis fine focusing make GIA waist codes easier to find and view clearly at eye level.

A dichroic beam splitter and sapphire stage enable repeatable UV fluorescence imaging of table-down gemstones without complex aiming or refocusing.

Reflectance imaging with a camera, light source, and motorized stage grades gemstone clarity and polish more consistently than manual inspection.

Synchronized UV pulses and timed luminescence capture reveal phosphorescence markers that distinguish natural from synthetic diamonds.

Parameterizing gem inclusion size, position, relief, number, and type enables more consistent clarity grade prediction.

Uniform UV illumination and telecentric imaging replace subjective inspection to grade gemstone fluorescence consistently across irregular shapes.

Traditional eddy current testing can miss fine cracks; NV color center sensing adds precise magnetic-field measurement.

A multi-focus imaging system trains neural networks to detect gemstone features and distinguish natural from lab-created diamonds.

A flat transparent stage fixes the focus while dichroic optics separate UV excitation from visible gemstone fluorescence.

Uniform UV illumination and rotating views automate fluorescence hue grading for irregular gemstones without manual input.

A gemstone scanner reads etched indicia between the table and culet while diffused-light treatment improves interior visibility.

This case converts rough gemstone silhouettes into comparison datasets for accurate re-identification, tracking, and origin verification.

Dual lighting captures surface and internal gemstone inscriptions in a portable imaging platform.

A moveable surface transports gemstones through measurement zones while a controller correlates position data with luminescence properties for identification.

Rotatable support structure aligns gemstone facets with directional light sources to capture specular reflections.

Portable viewer merges smartphone optics with mirrors to illuminate and capture microscopic gemstone inscriptions, eliminating bulky specialized equipment.

Automated optical system evaluates gemstone cut quality using controlled directional lighting and image analysis.

A diamond bow tie grading system uses structured lighting and tilt angle readouts to detect visual features.

Etching diffraction gratings onto diamond facets enhances fire without compromising brilliance, resolving the trade-off between these optical properties.

Multi-wavelength fluorescence excitation generates unique spectral signatures to trace polished diamonds back to rough origins despite polishing.

Segmented illumination system detects gemstone inclusions through controlled internal light patterns.

Immersion media matching the gemstone refractive index eliminate light refraction artifacts, enabling precise flaw location for optimal cutting.

Automated gimbal and centering mechanisms align gemstones to capture reproducible internal refraction patterns for precise identification.

Integrated measurement cell reduces device complexity while maintaining precision during automated gemstone appraisal.

Automated optical profiling replaces manual measurement and complex multi-scanner hardware to resolve precision versus cost trade-offs.

A machine learning system calculates eye-cleanliness and brilliance scores from diamond images to quantify visual quality metrics.

A gemstone color testing method quantifies hue-purity, color-strength, and relative chromaticity using the Natural Color System.

Automated imaging with dual integrating spheres eliminates subjective human judgment to deliver consistent diamond color and clarity grading.

Angular spectrum ray tracing generates static coded maps of flash and fire scintillation potential, enabling objective ranking without live observation.

Structured light projects a planar fan through immersed solids to generate illuminated cross-sections.

An integrated viewer attaches to a personal communications device, using its camera and LED light source to capture magnified images of gemstone surfaces.

Segmented light sources illuminate specific gemstone regions to map unique inclusion signatures, resolving detection repeatability issues.

Multi-spectral imaging captures infrared and ultraviolet data to classify gemstones with high precision.

Generating 2D projections from 3D models reduces CPU processing time while determining optimal cutting positions.

Matching pre-stored and real-time marking coordinates identifies gemstones, eliminating manual assessment errors and boosting processing throughput.