| Dimension (L×W×H/mm) | 2737×1000×1550 |
| Delivery Time | 5-8 work days |
| Power Supply Voltage (V/Hz) | 220V/50Hz |
| Payment Terms | L/C,D/A,D/P,T/T |
| Air Pressure (Mpa) | 0.5-0.8 |
| Total Power (Kw) | 4 |
| Air Consumption (m³/min) | <0.8 |
| Model | 6SXZ-126LFI Color Sorter |
| Model Number | 6SXZ-126LFI Color Sorter |
| Place of Origin | Hefei |
| Brand Name | PHOENIX |
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Product Specification
| Dimension (L×W×H/mm) | 2737×1000×1550 | Delivery Time | 5-8 work days |
| Power Supply Voltage (V/Hz) | 220V/50Hz | Payment Terms | L/C,D/A,D/P,T/T |
| Air Pressure (Mpa) | 0.5-0.8 | Total Power (Kw) | 4 |
| Air Consumption (m³/min) | <0.8 | Model | 6SXZ-126LFI Color Sorter |
| Model Number | 6SXZ-126LFI Color Sorter | Place of Origin | Hefei |
| Brand Name | PHOENIX | ||
| High Light | frozen corn belt color sorter ,intelligent sorter with HDR camera ,high-dimensional belt color sorter | ||
Anhui Ruize is tailor‑made for frozen corn. Centered on the core workflow of image acquisition, processing, annotation, AI model inference and software scheduling, it realizes full‑process intelligent sorting. Featuring exclusive waterproof and low‑temperature structural design, the unit copes with harsh production conditions such as high humidity and low temperature for stable and reliable operation.
Specifications
| Model | Total Power (Kw) | Power Supply Voltage (V/Hz) | Air Pressure (Mpa) | Air Consumption (m³/min) | Dimension (L×W×H/mm) |
|---|---|---|---|---|---|
| 6SXZ-63LFI | 3.5 | 220V/50Hz | 0.5-0.8 | <0.4 | 2737×700×1550 |
| 6SXZ-126LFI | 4 | 220V/50Hz | 0.5-0.8 | <0.8 | 2737×1000×1550 |
| 6SXZ-252LFI | 6 | 220V/50Hz | 0.5-0.8 | <1.6 | 2737×1600×1550 |
| 6SXZ-378LFI | 7 | 220V/50Hz | 0.5-0.8 | <2.4 | 2737×2200×1550 |
Integrated with compact machine vision system for synchronized image acquisition and processing. Under motion‑capture mode, it accurately tracks every frozen corn kernel and captures key features at high speed, delivering reliable performance even under stringent sorting requirements.
Leveraging optical design and algorithm models, it performs precise image distortion correction to faithfully restore the true morphology of frozen corn kernels, laying a high‑fidelity foundation for subsequent identification.
Simulating human “eye‑and‑brain” recognition mechanism with strong anti‑interference capability, it accurately extracts multi‑dimensional features of corn kernels and rapidly distinguishes good and defective kernels via continuous comparison and learning. Built‑in dedicated AI NPU chip delivers massive computing power for real‑time detection under high‑speed operation and greatly improves inference efficiency.
Self‑developed detection model library with more than 30 online models, flexibly adapted to various sorting scenarios of frozen corn. Models can be called on demand for plug‑and‑play deployment.
Intelligently controlled valve ports operate in multi‑channel parallel with microsecond‑level response to precisely reject defective kernels and impurities. Flexible opening‑closing design maintains high efficiency and stability under large throughput, coping with output variations while ensuring high yield and premium quality.
Company Details
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Manufacturer,Exporter,Seller
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Verified Supplier
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