Spectrum Investigation TRIZ Cases

Spectroscopic camera and display data are used to map RGB images to XYZ values, enabling accurate color reproduction under changing lighting.

Optical homogenizers and baffles let each superpixel capture cleaner spectral data while reducing mosaic undersampling and crosstalk.

Quantum dot layers and distinct filter regions extend spectral capture into UV, visible, and IR while improving wavelength discrimination.

A meta-grating and metasurface array disperse and focus different wavelengths onto a detector, shrinking spectrometers without losing resolution.

Overlapping spectroscopy and laser triangulation zones cut sensor footprint and interference while enabling simultaneous matter analysis.

Multiple NIR, SWIR, and MWIR cameras with ML improve identification of dark plastics, polymers, and contaminants for better recycling.

By scanning the image over a slit with a sliding lens group, this scope spectrometer avoids bulky moving optics and improves stability.

Per-channel exposure settings based on QE×TE let a multispectral sensor avoid saturation and produce stable HDR images under varied lighting.

Maps pixel-level feature wavelengths from multi-wavelength spectra into hue colors to reveal foreign materials even when absorption peaks are unknown.

Regional blue light hazard analysis adjusts low-blue-light parameters only where needed, reducing eye strain while limiting color cast.

User-selected wavelength data guides focus and exposure in multispectral imaging, improving image quality without scanning for moving subjects.