Innovative deep learning technology breaks the technical bottleneck of traditional color sorters in small target detection and further improves quality;
Efficiently removes impurities such as different-colored particles, wrinkled particles, wormhole particles, soil blocks, glass, ceramics, snail shells, etc. in raw materials to achieve refined sorting;
Special anti-jump material design effectively avoids material rebound, and the effect is long-lasting and stable;
Large output and high precision meet the needs of sorting and grading of different beans.