PHOENIX‑AI Rice Intelligent Color Sorter
For sesame materials where good grains and defective grains look highly similar, Anhui Ruize leverages image acquisition, AI algorithms and software collaboration technologies to realize intelligent sorting of sesame, accurately separating qualified grains from defective ones.
- High‑dimensional HDR Camera: Captures fine‑grained surface features of sesame particles completely in a single shot.
- AI Algorithm: Rapidly builds high‑precision sorting models with only 50 sesame sample images.
- AI Deployment Efficiency: The whole process from sesame sample collection to model deployment can be completed within one hour.
- Local AI Computing: Image acquisition, model training and sorting decision‑making are all executed on‑board, with no external server required.
| Model | Power (KW) | Voltage/Hz | Air pressure (Mpa) | Air consumption (m³/min) | Dimension (LWH mm) |
|---|---|---|---|---|---|
| 6SXZ-99C | 1.2 | 220V 50Hz | 0.5-0.8 | < 1.1 | 1124*1466*1840 |
| 6SXZ-198C | 1.7 | 220V 50Hz | 0.5-0.8 | < 2.2 | 1469*1466*1840 |
| 6SXZ-297C | 2.4 | 220V 50Hz | 0.5-0.8 | < 3.3 | 1814*1466*1840 |
| 6SXZ-396C | 2.9 | 220V 50Hz | 0.5-0.8 | < 4.4 | 2159*1466*1840 |
| 6SXZ-495C | 3.6 | 220V 50Hz | 0.5-0.8 | < 5.5 | 2504*1466*1840 |
| 6SXZ-594C | 4.1 | 220V 50Hz | 0.5-0.8 | < 6.5 | 2962*1466*1840 |
| 6SXZ-693C | 4.7 | 220V 50Hz | 0.5-0.8 | < 7.6 | 3302*1466*1840 |
| 6SXZ-792C | 5.4 | 220V 50Hz | 0.5-0.8 | < 8.5 | 3652*1466*1840 |
| 6SXZ-891C | 6.1 | 220V 50Hz | 0.5-0.8 | < 9.8 | 3992*1466*1840 |
| 6SXZ-990C | 6.8 | 220V 50Hz | 0.5-0.8 | < 10.9 | 4337*1466*1840 |
Equipped with a compact machine‑vision system for simultaneous image capture and processing. Under motion‑capture mode, it tracks fast‑flowing sesame particles in real time and accurately captures subtle features, readily meeting stringent sesame‑sorting specifications.
Combines optimized optical design and algorithm models to correct distortion in sesame images. It restores the original shape of sesame particles and prevents sorting errors caused by image distortion.
Inspired by human “eye‑brain” recognition logic, it delivers strong anti‑interference performance. Multi‑dimensional features of sesame grains are extracted accurately, and good/defective grains are intelligently identified via sample learning. Built‑in dedicated AI NPU chip supplies ample computing power for high‑speed sesame inspection and fast inference.
Self‑developed inspection model library with over 30 material‑sorting models available online. Mature dedicated sesame‑sorting model is pre‑loaded to adapt to sorting requirements for multiple grades and varieties of sesame.
Intelligent valve control with multi‑channel parallel operation for fast response and high sensitivity. Defective sesame grains and impurities are ejected at microsecond‑level reaction speed. Flexible valve opening‑closing ensures high overall throughput, making the machine well‑suited for high‑volume sesame‑processing scenarios.
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