VG Series Intelligent Optical Sorter Equipped With An AI-powered Dual-camera

Equipped with an AI-powered dual-camera system integrating RGB and MSI technologies, the VG Series establishes a multi-dimensional high-precision defect identification framework targeting the color, size, shape and texture characteristics of chickpeas. Powered by self-developed deep learning algorithms, the system enables continuous learning and model iteration. As new samples are accumulated, its recognition capability keeps improving, making chickpea sorting truly "smarter with use".

• High-efficiency Vibratory Feeder: Ensures single-layer uniform distribution of chickpeas and greatly reduces particle overlapping, creating optimal conditions for subsequent imaging and identification.
• Sealed Sorting Chamber & Industrial Electrical Cabinet: Adopts rigorous dustproof design to adapt to high-dust working environments and guarantee long-term stable equipment operation.
• Integrated Dust Removal Control System: Features proven and reliable performance for non-stop continuous operation, effectively cutting downtime for maintenance.
• Modular Chute Design: Optional configurations of 1/4/6/8/10/12 channels to flexibly match diverse production capacity requirements for chickpea processing.

• Self-developed Deep Learning Algorithm: Supports on-site optimization with new samples, enabling dynamic upgrade of defect recognition performance. It delivers outstanding performance for complex scenarios featuring various chickpea varieties and subtle color differences.
• High-resolution RGB Color Imaging: Captures fine details including color deviation, surface blemishes and the contour of chickpea protrusions with high accuracy.
• High-brightness LED Lighting System: Delivers clear and evenly lit images, adapting to changes in ambient light conditions.
• Optional NIR Near-infrared Camera or InGaAs-SWIR Short-wave Infrared Camera for extended detection of moisture content, internal defects and other hidden issues.

Combining multi-dimensional features such as color, size, shape and texture, the system achieves industry-leading precision in detecting common chickpea defects, including:

• Discolored grains: Moldy, oxidized, immature and contaminated chickpeas
• Broken and cracked chickpeas
• Insect-damaged chickpeas
• Diseased chickpeas (infected with fungal or bacterial spots)
• Foreign matters: Straw, stones, glass, plastic, metal and other impurities

Parameters can be customized for different chickpea grades and varieties. One-click switching enables quick adaptation to quality standards from different producing areas and clients.

The optimized air circuit and valve body design ensure excellent durability, rapid response and low air consumption.

It maintains accurate ejection and stable performance even under high-throughput working conditions to secure high purity of finished chickpeas.

The system effectively lowers false rejection rate and product loss, helping reduce overall operational costs.

The intuitive and user-friendly graphical interface supports multi-language selection for easy operation.

Preset sorting parameters can be recalled with one tap to realize rapid production line changeover for different chickpea varieties.

• Remote access and real-time operation monitoring
• Performance dashboard for clear visualization of sorting results
• Online professional diagnosis for timely response to malfunctions
• Interactive troubleshooting guides to minimize downtime