paper, plastic, iron
quartz, beryl, gemstones, diamonds
PET flakes, HDPE, LDPE, PVC, ABS
peanuts, walnuts, pine nuts, pistachio nuts, hazelnuts
wheat, rye, rice, oat, barley, corn, sorghum, millet
waste glass, ceramics, 0,1…5 mm fractions
granular, pills, capsules, etc.
berries, beans, corn and peas
mustard and buckwheat seeds, flaxseeds, amaranth grain
mung beans, chickpeas, soybeans, kidney beans, lentils, coffee beans
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.More details
New belt mini-sorter I6 is developed and available right now!
Ideal for nuts and dried fruit sorting (dried apricots, prunes, raisin, dried apples and pears). Two design options are availableMore details