Spectrum Investigation TRIZ Cases

Merging reference and sample paths eliminates environmental noise sensitivity while phase modulation enables stable differential measurements.

Multiple light guide members converge measurement light from a common integrator exit opening, preventing intensity variation caused by multiple openings.

Stacked wavelength detectors with interferometer filters resolve bandwidth limitations by passing distinct spectral portions to separate sensor layers.

Mobile spectroradiometer uses diffraction grating and calibration to detect cyanobacteria blooms without expensive training.

Folium curve mirror placement focuses diffracted beams on photodetectors without lengthening beam paths, resolving optical resolution loss.

A gemstone grading system uses spectral modulation to generate transmittance spectra for accurate color and clarity assessment.

A sensor head uses polychromatic light and dual color-dependent foci to switch between coarse and fine measurement modes.

Acetaminophen barium sulfate mixture calibrates spectroscopy probes, resolving poor signal-to-noise ratios in Raman and fluorescence systems.

A soot particle sensor uses a focused laser spot to detect temperature radiation from heated particles.

Deuterium-labeled amino acids and palmitic acid allow non-destructive, multiplexed metabolic phenotyping at the single-cell level.

Spatially varying Fabry-Perot cavity thicknesses compensate for blue shifts caused by high chief ray angles, ensuring uniform spectral accuracy.

Spatial modulation filters encode spectral data into time-varying light, eliminating complex optical alignment and costly reagents.

A spectral characteristic acquisition device uses a transformation matrix to estimate object spectra via diffraction and line sensor detection.

A dual wavelength enhanced vision system aligns near-infrared and thermal sensors with the pilot view.

Metal grating diffracts incident waves into specific orders to enable wavelength-selective transmission through a suspended dielectric waveguide.

L1 norm minimization algorithm recovers original spectrum information from sparse filter measurements, resolving resolution limits in compact spectrometers.

A photoconductor readout circuit applies bias voltages to determine response signals proportional to array characteristics.

Replacing CMOS sensors with a CCD type imaging element eliminates integrated readout noise during vertical binning, maintaining high SN ratio.

Dynamic path length adjustment resolves the contradiction between measurement precision and light transmission for accurate grease condition assessment.

Detects background shifts by analyzing time-varying optical signals, correcting errors without adding hardware complexity.

Multi-band infrared and visible light detection system captures facial features across spectral ranges for reliable identity verification.

A spectral sensor module integrates absorption color filters with interference-based filters to manage light incidence across multiple wavelength ranges.

Automated sensor system analyzes individual urine drops to calculate real-time output flow rates for bedside patient monitoring.

Nested optical path design eliminates collimating optics, reducing device mass while maintaining high resolving power for handheld applications.

Laminated optical filter layers on a translucent substrate prevent peeling at acute boundaries to maintain spectral accuracy.

A spectrum measurer detects skin spectral lines while a processor isolates signal noise to estimate consumed calories.

A light-receiving device adjusts pixel areas to match wavelength responsivity.

Spectrometer measures spectral data from a vertically oriented blood sample collector to detect chemistry parameters.

A diffractive lens system separates incoming radiation into spectral components for precise detection.

A multispectral imaging system splits light into parallel paths using multiple optical filters to capture simultaneous spectral images.

Computer-implemented method generates reference spectra libraries from set-up substrates to support in-situ optical monitoring during polishing.

Integrating light source and detector inside the probe assembly eliminates external fiber connections while enabling automatic exchangeability.

A prism spectrometer disperses collimated light onto a flat focal plane for array detection.

A multi-spectral camera uses a dispersive element and segmented microlens array to capture spatial and spectral data in a single exposure.

A horticulture lighting interface converts desired physiological plant responses into control instructions for adjustable lighting systems.

A resonance mixture model estimates parameters to reconstruct measured spectra with high fidelity.

A method segments spectral data into overlapping channels to determine individual contribution coefficients for improved measurement resolution.

Segmenting symmetric and asymmetric process variations via resonance region analysis improves measurement accuracy and robustness.

Replacing fixed narrow filters with a spatially varying optical element allows real-time spectral bandwidth adjustment without mechanical complexity.

Deconvolution of measurement and training spectra estimates a smaller effective spot size, improving precision without optical redesign.

A sliding spectrometry module resolves device complexity by sharing optical components between camera and analyte analysis modes.

A divided-aperture infrared spectral imager uses uncooled detectors to acquire multispectral optical data in a single snapshot.

A two-dimensional optical filter array with band-pass filters captures multi-wavelength light signals.

A spectral camera captures food spectra to match user desire attributes for optimal selection.

A mid-wave infrared constellation uses avalanche photodiode arrays to detect atmospheric temperatures and moisture fields from low earth orbit.

A spark emission particle detector concentrates aerosol particles using electrostatic charging and electrical discharge for real-time composition analysis.

A multimodal neural network identifies dust using fused satellite and ground data.

A parameterized radiometric model re-fits variable sensor parameters using reference material measurements to maintain optical response accuracy.

Segmented laser modules and universal control interfaces reduce device complexity while correcting atmospheric turbulence for ground-based telescopes.

An optical wavelength selector isolates specific signal components from aggregate fiber optic cables using interchangeable bandpass filters.