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Cowpea Solution
Industry Plan Introduction

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.