How can you detect foreign matter, for example, a piece of plastic in a mixture of food of the same color? At first glance, the human eye may not be 100% effective in these types of detections, however, hyperspectral technology is.
The food sector is one of the sectors undergoing the most thorough quality inspections since, above all, consumer safety is required. Hyperspectral vision technology, increasingly known, is the best option for quality control, monitoring and control of production processes in the food sector.
But what exactly is hyperspectral vision?
The hyperspectral vision combines two different technologies, one of them is the computer vision, which, as we have told in other blogs, consists of capturing images of the real world, processing and analyzing them so that they give us additional information. This technology, in combination with infrared range spectroscopy, creates three-dimensional maps, also called hypercubes.
Of these three dimensions, two correspond to the morphology of the sample and the remainder to its composition. Each hypercube is made up of images and pixel images. Each pixel contains data, these data are spectra that allow to identify bodies of high (metals) and low density (organic remains or insects).
The most highlight of this technology is the possibility of identifying the composition of the products in continuous and knowing the composition map to know the distribution of the components of the product, ensuring its homogeneity. Using a color legend, the composition of the detected element can be known. Here are some examples of how the hyperspectral images would look compared to the original.
Hyperspectral image of rice mixed with plastic
Hyperspectral image in which it can be seen, husks and pistachio skin
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