| Brand Name: | PHOENIX |
| Model Number: | H AI Optical Sorter |
| MOQ: | 1 |
| Price: | Price Negotiable |
| Payment Terms: | L/C,D/A,D/P,T/T,Western Union,MoneyGram |
Cost-Effective Pre-Sorting Solution Specialized for Walnuts Targeting walnut shell surface defects, breakage, and dark spots, this system employs an AI-driven, cost-effective RGB camera-based optical sorting solution. The proprietary deep learning algorithm can continuously optimize defect recognition capabilities based on new samples.
| Model | Belt Width (mm) | Air Nozzle | Air Pressure (MPa) | Air Consumption (m³/min) | Voltage | Power (kW) | Dimension (mm) | Unpacked Weight (kg) |
|---|---|---|---|---|---|---|---|---|
| H1 | 300 | 64 | 0.6~0.8 | <1.2 | 220V~50/60Hz | 3.2 | 3385*1251*2127 | 710 |
| H2 | 600 | 128 | 0.6~0.8 | <2.4 | 220V~50/60Hz | 3.6 | 3385*1826*2127 | 881 |
| H4 | 1200 | 256 | 0.6~0.8 | <3.6 | 220V~50/60Hz | 4.4 | 3385*2426*2127 | 1121 |
A high-value optical sorting solution specifically designed for walnuts.
| Defect Category | Specific Manifestations |
|---|---|
| Color Defects | Dark spots, mold spots, mottled skin, oxidation-induced dullness, abnormal color |
| Morphological Defects | Broken shells, exposed kernels, deformity, hollow shells, size inconsistency |
| Processing Defects | Residual green husk, attached internal membranes, improperly cleaned shells |
| Biological Contamination | Holes from insects, signs of mold, decay symptoms |
| Foreign Material | Insect bodies, stems and leaves, stones, glass fragments, shells from other nuts |
Optimized design balancing durability, speed, and air consumption efficiency.