Automated Rice Grain Sorter — Physically Separates Brown and Milled Rice Into Five Quality Classes
The RN600 images each kernel of brown or polished rice and physically sorts the sample into five quality classes, replacing tedious manual separation with an automated, repeatable process matched to the grading criteria you set.
Physical kernel sorting: separates the sample into five classes (even, cracked, immature, discolored, dead), not image classification alone.
Batch throughput: up to 2000 grains per batch at roughly 12 kernels per second, with a percentage breakdown per class.
Adjustable selection levels: classification thresholds can be set and stored to match your grading criteria.
