The KVS-G series grain quality analyzer consists of modules such as vision system and software system. When the grain enters the camera's field of view, it is photographed. Through registration algorithm, the characteristics of a complete grain are comprehensively obtained. Artificial intelligence algorithm is used for attribute recognition to determine whether there are problems such as disease spots, mold growth, sprouting, damage, insect erosion, etc.
- Sorting Material
- Product Advantages
A miniature machine vision system that combines image acquisition and processing.
In sports shooting mode, accurately track materials, capture feature information, and not fear strict sorting standards.
Simulate the way human "eyes+brain" recognize materials, which can resist interference, accurately extract material features, compare learning information, and judge materials.
The dedicated NPU chip for artificial intelligence ensures powerful computing capabilities for material detection under high-speed operation, accelerating inference.
Intelligent control valve port, multi-channel parallel, high-speed, high sensitivity, microsecond response rejection.
Flexible opening and closing, high yield and efficiency, fearless of increasing yield.
