Tailored single-belt models for aluminum scrap sorting, featuring dual-sensor fusion and high-performance air ejectors, purify aluminum fractions by removing heavy metal impurities through XRT-based density and atomic number analysis. Furthermore, the system can separate wrought alloys from cast alloys using AI-driven high-resolution VIS imaging surface feature identification, with deep-learning-refined precision.

Tailored dual-belt models for non-ferrous metal scrap recycling, featuring upper-level high-sensitivity sorting and lower-level high-efficiency re-inspection. Leveraging 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, with deep-learning–refined sorting precision.