Application scenarios: High-speed sorting of unpackaged nut raw materials (such as walnuts, macadamia nuts, sunflower seeds, pistachios, pine nuts, etc.) upon arrival at the factory or before roasting.
Key pain points:
Highly toxic impurities of similar density: The density of gravel and hard mud in the field is almost identical to that of nut shells. If these are missed during detection, it can easily lead to high-value customer complaints and claims from consumers who feel like they are "breaking their teeth".
Internal and external biological defects: hidden insect holes and small mold spots on the surface, as well as "empty shells" or "shriveled fruits" that look intact but have no kernel inside.
Detection items (dual-core driven, precise rejection):
X-ray inspection - Specializing in high-density foreign objects: Utilizing a large-channel high-speed X-ray detector, the system can collect and generate grayscale images based on the different penetration rates of X-rays, thoroughly penetrating the nut shell and accurately distinguishing between "organic kernels" and "inorganic impurities (metals/ceramics/stones/mud/glass)".
Vision inspection - Specializing in wormholes and empty/rotten nuts: High-definition industrial cameras equipped with deep learning AI algorithms accurately capture tiny "wormholes," "mold spots," and discolored defects on the surface of nuts; at the same time, combined with multi-dimensional morphological features, they intelligently identify and remove "empty shells" and "shriveled nuts" with abnormal weight distribution.
Microsecond-level precision rejection: After defective products are detected, the high-speed multi-channel air valve at the end of the belt uses high-pressure airflow to precisely "blow" foreign objects and bad products into the waste trough, minimizing the loss of good materials.
