HDF Series Intelligent Optical Sorter AI Vision Sorting Solution Tailored For Cranberries The HDF Series Adopts Self-developed Deep Learning Algorithms And Cost-effective RGB Camera Systems.

The HDF Series adopts self-developed deep learning algorithms and cost-effective RGB camera systems. Featuring outstanding defect recognition and continuous self-optimization capabilities, it has become the preferred standard equipment for numerous cranberry production line clients. While delivering precise sorting performance, the equipment greatly cuts overall operational costs, achieving a perfect balance of intelligent sorting and cost efficiency.

• Innovative Dual-layer Belt Sorting System

  • Upper main belt: Efficiently removes various surface defects with a moderate tolerance for minor mis-sorting to ensure no defective products are missed.
  • Lower re-inspection belt: Rechecks items rejected by the upper belt, recovers qualified products accurately and minimizes material waste.
• The waterproof vibrating feeding system ensures single-layer even spreading of cranberries and effectively reduces material overlapping.
• The whole machine is constructed with food-grade stainless steel. The fully enclosed sorting chamber and electrical cabinet enable stable operation in humid, dusty and other harsh working conditions of processing plants.
• Built-in integrated humidity control system guarantees long-term stable equipment operation.
• Modular design for flexible configuration. Belt widths of 600/1200/1800mm are available to match different production capacity requirements.

• Self-developed deep learning algorithms support continuous iteration and optimization with new samples to improve defect recognition accuracy steadily.
• Cost-effective high-resolution RGB color imaging system simulates human vision, serving as an ideal replacement for manual sorting.
• High-brightness LED lighting delivers clear and stable images, adapting to high-speed production scenarios.

• Comprehensive detection for all types of cranberry surface defects:

  • Color defects: Discoloration, mildew spots, rot, uneven coloration
  • Shape abnormalities: Malformation, deformation, oversize/undersize, damage and shrivelling
  • Surface damages: Scratches, cuts, dents, scars, cracks and shrinkage
  • Biological contaminants: Insect infestation, residual branches & leaves, soil lumps
  • Foreign matters: Stones, plastic/rubber fragments, wood chips, straw stalks, etc.

Optimized structural design ensures excellent durability, fast response and low air consumption. It maintains accurate ejection and reliable performance under high-throughput working conditions, lowering mis-rejection rate, material loss and subsequent manual recheck costs.

• User-friendly human-machine interface with one-click multi-language switching.
• Sorting parameters can be adjusted quickly to accommodate different production batches.

• Full-range remote support:

  • Remote access and real-time operation monitoring
  • Visualized performance data dashboard
  • Online expert diagnosis and instant technical support to keep production running smoothly