Single-belt models tailored for aluminum scrap sorting, featuring dual-sensor fusion and high-performance air ejectors. Aluminum fractions are purified by removing heavy metals via DE-XRT density analysis. Wrought alloys are separated from cast alloys by AI-driven VIS imaging surface feature identification, with deep-learning-refined precision.

Dual-belt models tailored 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 textures, with deep-learning–refined sorting precision.