Legumes are in greater demand than ever. The enormous spectrum ranges from chickpeas, over the most different types of lenses, such as beluga or red lentils, to sweet lupins and soybeans. The varieties of legumes count well over 1000 different varieties.
Legumes are one of the most popular and sought-after foods in African and Asian countries. Recently, this trend has arrived in western territories too.
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 legumes to be analyzed (e.g. peanuts, lentils, beans) can be tested and classified without any physical contact. Due to the optical measuring method, there is no danger in the checking process. The quality of the objects to be examined is protected. The non-contact measuring process protects the goods from damage.
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, glass particles or insects), unwanted by-products (such as shells, stems or leaves), contaminants or “material damages“.
We offer reliability and perfection. Hyperspectral Imaging is an innovative method that is particularly effective in the processing of nuts. Our software is particularly suitable for sorting and process analysis. In the long term, the technology can save costs and ensure a high level of quality.
This method enables more efficient work in many industrial sectors. By optimizing the analysis procedure, a particularly high quality standard is ensured. 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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