MEYER KFS Thinker UHD AI QUAD
The MEYER KFS Thinker UHD AI QUAD Belt Color Sorter for Cashew Hole uses deep AI + multispectral detection to identify micro color differences, small disease spots, wrinkles, and harmful impurities with high accuracy. Its 360° four-vision system captures defects from multiple angles, while the soft landing anti-crushing design helps reduce material breakage and protect product value. The machine also supports one-key adjustment after raw material changes, automatically matching the best sorting parameters for different grades and requirements. With waterproof, dust-proof, and oil-resistant sorting areas, plus intelligent maintenance alerts, it ensures stable performance, lower downtime, and efficient long-term operation.
The MEYER KFS Thinker UHD AI QUAD Belt Color Sorter for Cashew Hole uses deep AI + multispectral detection to identify micro color differences, small disease spots, wrinkles, and harmful impurities with high accuracy. Its 360° four-vision system captures defects from multiple angles, while the soft landing anti-crushing design helps reduce material breakage and protect product value. The machine also supports one-key adjustment after raw material changes, automatically matching the best sorting parameters for different grades and requirements. With waterproof, dust-proof, and oil-resistant sorting areas, plus intelligent maintenance alerts, it ensures stable performance, lower downtime, and efficient long-term operation.
| Name | Model | Power (kW) | Voltage (V) | Air Pressure (MPa) | Air Consumption (m³/min) | Dimensions (mm) | Weight (kg) |
|---|---|---|---|---|---|---|---|
| KFS Series | 6SXZ-240KF4-P1 | 6.4 | 180~240 50Hz | 0.6~0.8 | ≤6.0 | 8649×3500×3666 | 2450 |
- MEYER thoroughly researches AI technology to provide the best sorting solutions.
- Our devices ar equipped with deep learning AI systems, based on the analysis and integration of data features such as color and shape.
- By comparing materials with an extensive library of models, Meyer ensures precise classification even of the smallest defects at the level od 1-2 pixels.
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