| ชื่อแบรนด์: | PHOENIX |
| หมายเลขรุ่น: | เครื่องคัดแยกแสง VG AI |
| ขั้นต่ำ: | 1 |
| ราคา: | Price Negotiable |
| เงื่อนไขการชำระเงิน: | L/C,D/A,D/P,T/T,Western Union,MoneyGram |
The VG Series is equipped with a self-developed AI vision engine, centering on a dynamic camera suite that combines RGB and MSI (Multispectral Imaging) to simultaneously analyze chickpeas across four dimensional attributes—color, size, shape, and texture—enabling micron-level defect recognition. Powered by deep learning-based self-evolving algorithms, the system supports continuous training and iteration with new samples, allowing recognition capabilities to improve with accumulated production data—the more it operates, the more accurate it becomes.
| Model | Chute | Air Nozzle | Air Pressure (MPa) | Air Consumption (L/min) | Power (kW) | Voltage | Dimension (LWH)(mm) | Weight*(kg) |
|---|---|---|---|---|---|---|---|---|
| VG1 | 1 | 64 | 0.6~0.8 | <1000 | 0.9 | 220V~ 50/60Hz | 1255*2199*2076 | 680 |
| VG4 | 4 | 256 | 0.6~0.8 | <2000 | 2.9 | 220V~ 50/60Hz | 2170*2199*2076 | 1150 |
| VG6 | 6 | 384 | 0.6~0.8 | <3000 | 4.4 | 220V~ 50/60Hz | 2800*2199*2076 | 1480 |
| VG8 | 8 | 512 | 0.6~0.8 | <4000 | 5.9 | 220V~ 50/60Hz | 3430*2199*2076 | 1840 |
| VG10 | 10 | 640 | 0.6~0.8 | <5000 | 7.3 | 220V~ 50/60Hz | 4070*2199*2076 | 2180 |
| VG12 | 12 | 768 | 0.6~0.8 | <6000 | 8.8 | 220V~ 50/60Hz | 4835*2199*2076 | 2550 |
High-efficiency vibratory feeder ensures a single-layer, uniformly distributed material flow, significantly reducing particle overlap and enhancing inspection precision.
Sealed sorting chamber and electrical enclosure, combined with an industrial-grade dustproof structure, reliably withstand high-dust working environments.
Mature and dependable integrated dust control system guarantees long-term continuous and stable operation.
Modular chute design offers flexible channel configurations of 1, 4, 6, 8, 10, or 12 channels, easily accommodating varying production capacity requirements.
Self-developed deep learning algorithms continuously enhance defect recognition capabilities with new samples—the smarter it gets with more production.
High-resolution RGB color imaging precisely captures subtle surface imperfections.
High-brightness LED intelligent illumination ensures clear and stable image quality, immune to ambient light interference.
Optional NIR (Near-Infrared) camera or InGaAs-SWIR (Short-Wave Infrared) camera further expands detection dimensions.
Precisely identifies the following categories in chickpeas:
Discolored kernels – mildew, oxidation, immature, or contaminated particles;
Broken/cracked kernels;
Insect-damaged kernels;
Diseased kernels – fungal or bacterial infection spots;
Foreign materials – straw, stones, glass, plastic, metal, etc.
Supports customized parameter settings for multiple chickpea varieties, with one-touch save and switch functionality for flexible response to raw material variations.
Optimized airflow design combining durability, high-speed response, and low air consumption.
Maintains precise rejection even at high throughput, with significantly reduced false rejection rates, effectively lowering overall operating costs.
Intuitive and user-friendly graphical interface with multi-language support for easy operation.
One-touch recall of product sorting parameters enables instant variety changeovers.
Remote access and real-time monitoring allow equipment status checks anytime, anywhere.
Built-in performance data dashboard delivers visual production analysis reports.
Online expert diagnostics and interactive fault troubleshooting enable rapid on-site issue response, minimizing downtime.