HPB AI-SWIR Sorter is a high-performance, AI-driven sorting solution specifically designed for the recycling industry, suitable for PET bottle processing lines and municipal solid waste treatment plants. By integrating advanced color recognition and polymer analysis technologies, it enables automatic and precise sorting of PET, HDPE, and other plastics, with a sorting accuracy exceeding 99%, supporting efficient and intelligent recycling operations.

Technical Highlights

• Dual-Sensor Synchronized Detection
  Utilizes a high-performance indium gallium arsenide (InGaAs) short-wave infrared (SWIR) camera system to accurately identify polymers such as PET, HDPE, and PP based on molecular composition.
  Equipped with a high-resolution RGB camera system to finely distinguish bottle colors (e.g., transparent, blue, green) and contamination levels.
• AI Deep Learning Capabilities
  Automatically identifies and classifies bottle bodies, caps, labels, and various impurities (e.g., metal, silicone).
  Features self-learning ability to adapt to new materials and complex appearances (such as bottles with printed labels).
  Capable of handling challenging sorting scenarios, including reflective bottles, black bottles, and damaged bottles.
• High-Efficiency Belt Sorting System
  Modular belt design with a processing capacity of 2–6 tons per hour.
  Configurable with 88–224 high-precision nozzles, offering a response time of <1 ms and sorting positioning accuracy within ±2 mm.
  Belt width supports modular selection (1200/2000/2800 mm, selectable within the range of 1200–2800 mm) for flexible adaptation to different production line requirements.

Specifications