Single-belt models tailored for aluminum recovery. Dual-sensor fusion purifies aluminum by removing heavy metals by density and separates wrought from cast by AI-driven surface analysis.

Dual-belt models tailored for non-ferrous metal recovery. AI-driven RGB-camera-based system recovers specific fractions by color variation and surface texture, with deep-learning-refined precision.

Dual-belt models tailored for e-scrap recycling, with upper-belt primary sorting and lower-belt secondary recovery. AI-driven RGB-camera-based system recovers high-value fractions by color variation and surface feature, while deep learning on real production data continuously optimizes sorting precision.

Single-belt models tailored for e-scrap recycling. Dual-sensor fusion of DE-XRT and RGB recovers high-value fractions by density analysis and AI-driven surface feature identification. Deep-learning training on real production data enables continuous optimization of sorting precision.

Single-belt models tailored for plastic bottles sorting. SWIR camera recovers PET and other plastic bottles by polymer, while AI-driven RGB camera works by color with deep-learning-refined precision.

Chute models tailored for plastic flakes sorting. RGB-camera-based system identifies and recovers high-value color flakes. Optional NIR cameras for enhanced light-color detection.