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Foodstuff

Quality assurance at a high level

Who would like to discover at the weekly purchases in the supermarket inedible or even harmful residual substances in his food? The media already published various scandals that may result from neglected quality controls and poor process monitoring.

Germany is known for its high standards in quality control in the food industry. They have very strict guidelines. And there are a lot of conditions and restrictions that must be adhered to. In contrast to common samples, which in turn require higher costs and more time, LuxFlux offers a suitable alternative. We rely on hyperspectral technologies that enable complete, fast and non-contact measurement in the process.

The foodstuffs to be analyzed (whether liquids, powders, legumes, fruits, vegetables, coffee beans, grains, etc.) can be checked without contact.

True to the motto “The good in the pot, the bad into the crop”, the sorting of food works by means of hyperspectral near-infrared sensors. LuxFlux has developed the industry-suited technology in order to quickly and effectively remove foreign objects (e.g. stones, wood, paper, plastics or insects), unwanted by-products (such as shells, stems or leaves), contaminations or “material damages” (such as bruises or maturity). The divergent substances may subsequently be analyzed, identified and (in case of the maturity level) measured. It is not relevant whether the goods are fresh or convenience products (like processed products). In addition, so-called “raw substances” (such as cereals, grains, coffee, tea, cocoa or tobacco) can be measured.

Our software enables more efficient work in the food industry. Optimizing the sorting process ensures a high standard of quality. It ultimately facilitates the customer’s buying decision while protecting the consumer and enhancing the reputation of their own brand.

The left illustration shows an original photography (RGB camera) of peanuts with and without shells. The same objects are shown on the other two pictures. These are false-color coded images. The similar-looking substances are depicted with pseudocolors for a better identification. The material characteristics or material differences that appear in the hyperspectral analysis are visualized in a simplified way. With this method the different substances can be identified and classified in a fast way.

 

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