Tailored single-belt models for aluminum scrap sorting. Powered by dual-sensor fusion and high-performance air ejectors, the system purifies aluminum fractions by removing heavy metal impurities through XRT-based atomic number and material density analysis, and combines AI-driven surface feature recognition to efficiently separate wrought aluminum from cast aluminum, delivering deep-learning-refined sorting precision.

Tailored dual-belt models for non-ferrous metal scrap recycling, featuring upper-level high-sensitivity sorting and lower-level high-efficiency re-inspection. Powered by AI-driven high-resolution VIS imaging and high-performance air ejectors, the system recovers target high-value fractions from scrap streams by identifying color variations and surface characteristics, delivering deep-learning–refined sorting precision.

Dual-belt models tailored for e-scrap recycling, featuring upper-level high-sensitivity sorting and lower-level high-efficiency re-inspection. Powered by AI-driven high-resolution VIS imaging and high-performance air ejectors, the system recovers target high-value fractions from scrap streams by identifying color variations and surface textures, delivering deep-learning–refined sorting precision.

Single-belt models tailored for e-scrap recycling. Powered by dual-sensor fusion and high-performance air ejectors, the system extracts high-value fractions from scrap streams by leveraging dual-energy X-ray transmission and AI-driven high-resolution VIS imaging, delivering deep-learning-refined sorting precision.

Single-belt models tailored for plastic bottles sorting, featuring dual-sensor fusion and high-performance air ejectors. SWIR imaging identifies PET and other plastic bottles by polymer type. Meanwhile, AI-driven VIS imaging sorts by color with deep-learning-refined sorting precision.

Chute models tailored for plastic flakes sorting. Powered by high-resolution VIS imaging and high-performance air ejectors, the system precisely identifies and recovers target high-value colored flakes from material streams. Optional NIR imaging detects challenging light-color materials.