Hyperspectral Imaging Application
Food Industry
Learn more about how to you use spectral imaging cameras for food industry monitoring
HAIP Solutions
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Food Industry
Hyperspectral Imaging allows to study food chemical composition, adulteration, ripeness, freshness or bruising on various fruits and vegetables. It can also identify foreign materials such as shell pieces, wood, stones, paper, metal or insects.
In comparison to many other technologies, HSI can reliably identify materials based on biological and chemical content which enable the supply chain to optimize product consistency, improve yield, reduce waste and deliver quality.
Common use cases
- Food fraud detection
- Foreign object detection
- Chemical composition
- Quality differentiation
- Ripeness measurement
- Protein content
View our Application Notes
BlackIndustry SWIR 1.7 Max: Detection of Undesired Components in the Almond Production
Almonds, the edible seeds of the Prunus dulcis tree, have been prized for …
BlackIndustry SWIR 1.7 / Max & Foreign Objects in Food
Rice plays an essential social and economic role worldwide as a staple food and commodity. Almost a third of the world‘s …
Hyperspectral Imaging Solutions
Food Industry
BlackIndustry VNIR V2
500-1000 nm wavelength range
BlackIndustry NIR
700-1050 nm wavelength range
BlackIndustry SWIR 1.7
900-1730 nm wavelength range
BlackIndustry SWIR 1.7 Max
900-1730 nm wavelength range
BlackMobile
Handheld Hyperspectral Imaging
