Equipped with AI-powered RGB/MSI smart camera combination, the machine performs multi-dimensional defect identification by analyzing sunflower seeds in terms of color, size, shape and texture. The self-developed deep learning algorithm enables continuous optimization of defect recognition with new sample data.

• The high-efficiency vibrating feeder ensures single-layer and even distribution of sunflower seeds to minimize overlapping.
• Fully enclosed sorting chamber and electrical cabinet with industrial-grade dustproof design, suitable for high-dust working environments.
• Mature and reliable integrated dust removal system guarantees long-term stable operation.
• Modular structure with optional chute configurations: 1/4/6/8/10/12 lanes, flexibly matching different production capacities.

• Independently developed AI deep learning algorithm for ongoing recognition performance improvement via new samples.
• High-resolution RGB color imaging system to capture subtle defects accurately.
• High-brightness LED lighting system delivers clear and stable imaging.
• Optional NIR camera or InGaAs-SWIR camera available.

Boasting industry-leading detection accuracy, it identifies various defects and foreign materials based on color, size, shape and texture:

• Discolored seeds
• Mouldy seeds
• Broken, cracked and deformed seeds
• Worm-eaten seeds
• Diseased seeds (e.g. fusarium-infected seeds)
• Foreign matters (stones, clods, husks, weeds, mixed grains)
• Chemically coated / dyed seeds
• Mutant / hybrid seeds

Custom parameter settings are supported for various sunflower seed varieties.

• Optimized structure balances durability, response speed and air consumption efficiency.
• Maintains precise ejection and stable performance under high-throughput operation.
• Effectively reduces false rejection rate and overall operating costs.

• User-friendly HMI with multi-language support.
• One-click switching between sorting parameters for different products.

All-round remote support system:

• Remote access and real-time monitoring
• Performance data dashboard
• Online expert diagnosis
• Interactive troubleshooting