Innovative deep learning technology breaks the technical bottleneck of traditional color sorters in small target detection and further improves quality;
High-density foreign objects such as fine sand, glass, ceramics, snail shells, etc. can be detected in raw materials;
Impurities such as heterochromatic grains, wrinkled grains, wormhole grains, and soil blocks in raw materials can be efficiently removed to achieve refined sorting;
Special anti-jump material design effectively avoids material rebound, and the effect is long-lasting and stable.