HD Intelligent RGB Optical Sorter with Dual-Layer Sorting and AI-Powered 256 Air Nozzles for Nut Processing

Powered by an AI-driven dynamic RGB/MSI camera combination and equipped with self-developed deep learning algorithms, this sorter continuously optimizes defect recognition accuracy through new sample iteration. It delivers industry-leading defect removal and quality grading for dehydrated vegetables, helping enterprises strictly control product quality and enhance market competitiveness.

The innovative double-layer belt sorting system creates dual protection of primary sorting + re-inspection, minimizing qualified product loss from the source:

• Upper Main Sorting Belt: Efficiently screens out all types of potential defective materials, eliminating any quality risks.
• Lower Re-sorting Belt: Conducts accurate re-inspection on materials rejected in primary sorting, maximizing the recovery of qualified products and significantly reducing material waste.

An optional innovative double-layer vibrating feeder is available to achieve uniform distribution of large-volume materials, ensuring full spreading and reduced overlapping of dehydrated vegetables, thus laying a solid foundation for precise sorting.

• Food-grade stainless steel reinforced body complies with global food safety and hygiene standards, eliminating the risk of material contamination.
• Sealed sorting chamber and electric control cabinet adopt industrial-grade dust-proof design, easily adapting to the high-dust environment of dehydrated vegetable processing.
• Quick-release belt structure enables one-click daily cleaning and maintenance, greatly shortening downtime and meeting stringent food safety requirements.
• Mature integrated dust removal control system ensures continuous and stable operation, reducing equipment failure rates.

Belt width supports customization of 600mm/1200mm, allowing flexible selection according to enterprise production capacity. It is perfectly suitable for both small and medium-sized production lines and large-scale processing bases.

The self-developed AI core algorithm features self-optimization capability. It can be iteratively upgraded by continuously importing new samples, achieving steady improvement in defect recognition accuracy without frequent manual debugging. It is adaptable to the sorting needs of different batches and varieties of dehydrated vegetables.

• High-resolution RGB color imaging: Precisely captures minor defects such as browning, scorch marks and debris, without missing any quality flaws.
• High-brightness LED stable lighting: Ensures clear imaging of materials, providing reliable guarantee for detection accuracy.
• Optional expansion modules: Short-wave infrared camera + UV fluorescence detection camera further expand detection dimensions to meet higher quality requirements.

The optimized high-performance pneumatic nozzle rejection system balances durability, response speed and air consumption efficiency. Even under the working condition of high-volume continuous sorting, it can maintain precise rejection performance, significantly reducing the false rejection rate, cutting down comprehensive operation costs and creating greater economic benefits for enterprises.