PHOENIX‑AI Special Intelligent Sorting Machine for Buckwheat
Aiming at the core industry challenges in buckwheat processing — where qualified grains and defective ones (including discolored, mildewed, broken grains and impurities) share highly similar appearances and are difficult to distinguish by the naked eye — Ruize Vision integrates high-precision image acquisition, AI intelligent algorithms and collaborative software control to achieve precise identification and high-efficiency sorting of every single buckwheat grain, delivering stable and controllable final product quality.
| 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 |
It captures subtle differential features including color, texture and spots on buckwheat grain surfaces in a single shot, supplying abundant data sources for accurate identification.
A high‑precision sorting model can be rapidly built with merely 50 sample images, greatly lowering modeling barriers and manual labeling costs.
The whole workflow from sample collection to model deployment can be finished within one hour, enabling flexible adaptation to production‑line variety switching and parameter adjustment.
Image capturing, model training and decision‑making are fully integrated locally on the machine, with no reliance on external servers. It guarantees data security and delivers simpler and more flexible deployment.
Equipped with a miniaturized machine‑vision system integrating buckwheat image acquisition and real‑time processing. Even under high‑speed imaging mode, it accurately tracks every flowing buckwheat grain and captures fine surface details, readily meeting stringent accuracy requirements for buckwheat sorting.
Dual‑optimized by sophisticated optical design and advanced algorithm models, it performs pixel‑by‑pixel distortion correction on buckwheat images to truly restore particle geometry and surface texture. It delivers high‑fidelity data for subsequent AI recognition and ensures reliable judgment on both qualified and defective grains.
Imitating the collaborative “eye‑and‑brain” human recognition logic, it features strong anti‑interference capability. It accurately extracts multi‑dimensional characteristics of buckwheat including color, shape and luster, and makes rapid classification and grading decisions via continuous comparative learning. Built‑in dedicated AI NPU chip delivers sufficient computing power for high‑speed production lines, guaranteeing efficient real‑time processing and model inference for massive volumes of data.
Self‑developed inspection model library with more than 30 mature sorting models, including specially‑optimized recognition solutions for buckwheat. Users can flexibly call or switch models online, and quickly adjust sorting standards according to buckwheat varieties, origins and quality requirements, truly realizing “one exclusive solution for one buckwheat type”.
Intelligently‑controlled valve ports operate in multi‑channel parallel with microsecond‑level response speed, precisely rejecting defective grains and impurities with high sensitivity. Valves open and close nimbly and adjust dynamically with production‑line speed. Even under sharp output fluctuations, the equipment maintains high throughput and stable performance, fully satisfying large‑scale production demands of buckwheat processors.
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