HD Series Intelligent Optical Sorter: Cost-Effective AI Pre-Sorting Solution For

Focused on low-cost pre-sorting for dried apricot products, this solution adopts an AI-powered economical RGB optical sorting system to accurately identify visible defects. Our self-developed deep learning algorithms enable continuous iteration and optimization with new samples, so the defect recognition capability keeps improving alongside production data.

Custom-built for the primary sorting of dried apricots, it efficiently detects visible defects while cutting the per-batch sorting cost substantially without compromising accuracy.

• Upper primary sorting belt: Rapidly removes all materials with potential defects. Minor false rejects are acceptable to ensure zero missed defective products.
• Lower re-inspection belt: Precisely rechecks items rejected by the upper belt and recycles qualified products, greatly reducing the loss of good materials.

Achieves even material distribution and reduces overlapping, improving sorting accuracy from the source.

Complies with global food safety and hygiene standards, featuring corrosion resistance and easy cleaning.

Industrial dustproof design ensures long-term stable operation in dusty, humid and other harsh working conditions.

Belts can be disassembled and installed rapidly without tools, simplifying daily maintenance and cleaning to meet strict hygiene requirements.

Well-verified by long-term market application for reliable continuous operation and consistent sorting performance.

Available in 600mm and 1200mm belt widths to flexibly match different production capacity demands.

• Self-developed Deep Learning Algorithms: Continuously optimized with new samples for progressively enhanced defect recognition.
• High-Resolution RGB Color Cameras: Capture subtle differences in color and shape.
• High-Brightness LED Lighting System: Delivers clear and stable imaging free from ambient light interference.
• Cost-Effective Multi-Dimensional Detection: Realizes comprehensive and accurate sorting at a reasonable cost. It identifies common defects of dried apricots as follows:
  • Color Defects: Dark spots, oxidative browning, uneven coloration and abnormal discoloration
  • Shape Defects: Broken pieces, shrunken fruits, malformation, out-of-spec size and flesh damage
  • Processing Defects: Residual pits, surface attachments, leftover stems and blackened calyxes
  • Biological Contamination: Worm-eaten marks, visible mildew, rot and rancid discoloration
  • Foreign Matter Contamination: Insects, stems, leaves, stones, glass fragments, hair and other impurities

Optimized ejectors deliver outstanding durability, fast response and low air consumption. It maintains precise rejection under high-capacity operation with stable performance, lowering false reject rate, material waste and overall operating costs.

Features an intuitive and user-friendly interface with one-click multi-language switching. Sorting parameters for different products can be quickly recalled and adjusted for efficient product changeover.

• Remote access and real-time monitoring to check equipment status anytime, anywhere.
• Performance dashboard displaying key indicators including output and rejection rate.
• Online professional diagnosis and interactive troubleshooting for rapid response, minimizing downtime.