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.

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