The “fingerprint” is a spectral signature resulting from the unique molecular composition and structure of each material.
These spectral signatures manifest as characteristic absorption, reflection, or transmission patterns across the electromagnetic spectrum. Hyperspectral imaging systems identify and differentiate materials based on their spectral signatures.
By analyzing these unique responses, hyperspectral machine vision can accurately classify and identify materials, enabling a wide range of applications from waste and material sorting to remote sensing and medical diagnostics.
Select the best light source
A hyperspectral machine vision system consists of a light source, filters, lenses, and sensors. A light source that can deliver light in the Short-Wavelength Infrared (SWIR) range, from 1000-2500 nm, offers better results because it can detect hidden features and characteristics, such as moisture content, chemical composition, or defects not visible to the naked eye.
When choosing a light source for hyperspectral machine vision, it’s crucial to choose one that has a:
- high energy efficiency
- low or no heat generation
- wide wavelength range
- high brightness
- long lifespan
The SuperK EVO supercontinuum white light laser provides focused light without generating heat. It offers high brightness, resulting in high resolution and short sampling times.
Additionally, its long lifetime ensures a low cost of ownership. One laser covers the entire 380-2400 nm range and can be used for line or point illumination.
More information
Read more about hyperspectral machine vision in Vision Spectra’s article “Hyperspectral Machine Vision Finds Its Place in a Growing Number of Sorting and Inspection Applications”.
Read more about how the SuperK supercontinuum white light lasers can be used for hyperspectral machine vision and get the pros & cons.
