SWIR imaging operates in the Short Wave Infrared spectral range of 900 to 1700 nanometres, enabling machine vision systems to see features and materials that are completely invisible at visible wavelengths. SWIR illumination and InGaAs cameras can inspect through opaque polymer packaging to verify fill levels and detect foreign bodies, identify water content in food and agricultural products, detect silicon solar cell defects, sort recyclable plastics by polymer type, and inspect semiconductor devices for subsurface features. RODER Vision SWIR LED illuminators provide controlled, high-intensity output at wavelengths matched to InGaAs sensor sensitivity peaks. As SWIR camera costs continue to decrease, SWIR machine vision is expanding rapidly from research and specialist applications into volume industrial inspection in food, pharmaceutical, agriculture, recycling, and semiconductor manufacturing sectors.

Glass and transparent materials rank among the hardest subjects for machine vision. Find out which lighting methods — backlight, darkfield, SWIR — reliably reveal inclusions, cracks, bubbles and coating faults in glass and plastics.

Hyperspectral and multispectral imaging see beyond what conventional monochrome or colour cameras can detect, revealing composition, contamination and material properties invisible to standard vision systems. See the state of the art and where it is heading.