The term hyperspectral image analysis is particularly at home in the fields of artificial intelligence, automation, sustainability and Environment 4.0. This innovative technology is used here to analyse images much more accurately than is possible with the human eye.
In hyperspectral image analysis, images are not only captured in the primary colours red, green and blue, but in many hundreds of very fine colour ranges. The result: each pixel in the image contains detailed information about different wavelengths of light. This makes it possible to recognise differences and features that remain invisible to the naked eye.
A practical example: In agriculture, hyperspectral image analysis can be used to check the condition of plants. Even before the eye can see it, the technology can recognise whether the plants are receiving too little water or are diseased. This allows faster and more targeted action to be taken. In quality control in factories, this analysis also helps to detect subtle defects or impurities on products and make production more efficient.
Hyperspectral image analysis automates and improves processes - saving costs, conserving resources and increasing quality in many industries.
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