UNIQUE BUSINESS SOLUTIONS FOR AGRICULTURE, FOOD INDUSTRY AND RECYCLING

Any Bulk Product Sorting – grains and oilseeds, beans, cereals, nuts, vegetable seeds, materials and minerals

Optical Spectrum Analysis – of the product in our Lab for high-precision sorting

Multi-Criteria Product Sorting – by color and color shades, shape, size, weight, composition and structure

Hardware and Software Platform – neural networks and machine learning algorithms for sorting process control

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PRODUCT PROCESSING

Recyclables

paper, plastic, iron

Minerals

quartz, beryl, gemstones, diamonds

Plastic

PET flakes, HDPE, LDPE, PVC, ABS

Nuts

peanuts, walnuts, pine nuts, pistachio nuts, hazelnuts

Grains

wheat, rye, rice, oat, barley, corn, sorghum, millet

Glass cullet

waste glass, ceramics, 0,1…5 mm fractions

Медицинские препараты

Таблетки, Гранулы, Капсулы и др.

Frozen products

berries, beans, corn and peas

Seeds

mustard and buckwheat seeds, flaxseeds, amaranth grain

Beans

mung beans, chickpeas, soybeans, kidney beans, lentils, coffee beans

TECHNOLOGIES

Innovations in Sorting Process

Intellectual Sorting Based on Machine Learning Algorithms

Adaptive sorting algorithms that use principles of machine learning are able to adjust color sorter parameters for any product with minimal operator involvement. At the first learning stage raw material is divided into “good” and “bad” by its optical properties (color, shape, composition, etc.). Then an operator manually or with the help of the vibratory feeder runs a small amount of “good” and “bad” material through a color sorter. The algorithm “learns” parameters of the reference fractions and after that it is possible to start automatic sorting process.

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KNOW-HOW – Spectroscopy Analysis of Grain and Impurities in NIR and visible spectrum

In order to analyze harmful and dangerous impurities in grain we use modern technologies of dispersive-reflection, fluorescence and absorption spectroscopy.

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