It Is Equipped With An Ai-powered Flexible Rgb/msi Camera Assembly, Which Identifies Multi-dimensional Defects In Chickpeas Via Color Feature Analysis.
Equipped with an AI-powered RGB/MSI flexible camera combination, it performs multi-dimensional defect identification for chickpeas by analyzing color, size, shape and texture features. The self-developed deep learning algorithm continuously upgrades defect recognition performance with new sample data input.
| 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 |
Adopts high-efficiency vibrating feeders to spread chickpeas into a uniform single layer and drastically reduce bean overlapping.
Sealed sorting chamber and electrical cabinet with industrial dustproof construction, suitable for heavily dusty processing environments.
Well-established integrated dust removal control system guarantees stable and reliable long-hour continuous operation.
Modular structure with configurable chute channels (1, 4, 6, 8, 10, 12 options), flexibly matching high, medium and low-capacity processing lines.
Proprietary AI deep learning algorithm iterates constantly with fresh chickpea samples to boost defect detection accuracy steadily.
High-resolution RGB color imaging system captures tiny blemishes, color differences and subtle textures on bean coats precisely.
High-brightness LED lighting delivers consistent, crisp imaging for chickpeas of varying sizes and color shades.
Optional upgrade with NIR cameras or InGaAs-SWIR cameras.
Industry-leading multi-dimensional precise inspection for chickpeas, identifying defects based on four core metrics: color, dimension, contour and surface texture:
- Discolored beans: Mouldy grains, oxidized yellow/black beans, underripe green kernels, contaminated discolored particles
- Broken/split beans: Half-split kernels, cracked seed coats, incomplete broken cotyledons
- Worm-eaten beans: Insect holes, hollowed grains, pest-eroded cavities
- Diseased beans: Fungal plaques, bacterial spots, mildew-infected kernels
- Foreign contaminants: Straw stalks, clods, stones, glass fragments, plastic scraps, metallic impurities
Compatible with dry chickpeas, soaked raw beans and other forms; customizable sorting parameter settings available.
Optimized structural design balances durability, response speed and compressed air consumption for maximum efficiency.
Delivers pinpoint ejection accuracy under full-load high-throughput sorting conditions with steady machine operation.
Markedly cuts false rejection rate of intact premium beans, lowering raw material waste and overall processing operational costs.
Intuitive, streamlined HMI with multi-language switching, tailored for overseas processing factories.
One-click recall and switching of sorting parameters for different chickpea grades, enabling quick product changeovers.
Comprehensive remote operation & maintenance support system:
- Visual dashboard displaying real-time equipment performance data
- Online remote diagnostic service by backend technical specialists
- Interactive step-by-step self-inspection and troubleshooting functions
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