Chute models tailored for plastic flakes sorting, featuring dual-sensor fusion and high-performance air ejectors. Based on 3-band SWIR imaging, the enhanced system can identify and separate more specific polymers such as PETG, PPSU, and TRITAN, compared with 2-band SWIR. Meanwhile, leveraging high-resolution VIS imaging, it sorts by color variation.

Chute models tailored for plastic flakes sorting. Powered by advanced UV imaging and high-performance air ejectors, the system efficiently identifies and rejects aged, yellowed, and OBA-containing flakes, guaranteeing AAA-grade rPET purity.

Tailored single-belt models for freshly harvested coffee cherry sorting. Powered by high-resolution VIS imaging and high-performance air ejectors, the system efficiently identifies and rejects visible defects, including underripe, overripe, and moldy cherries, as well as foreign material.

Chute models tailored for dry glass cullet sorting. Powered by AI-driven high-resolution VIS imaging and high-performance air ejectors, the system efficiently detects and recovers high-value glass fractions by color, shape, brightness, and transparency, while simultaneously removing impurities such as ceramics, metals, and stones, delivering deep-learning-refined sorting precision.

Tailored chute models for both green and roasted coffee beans sorting. Powered by AI-driven ultra-high-resolution VIS imaging and high-performance air ejectors, the system efficiently identifies and rejects discolorations, surface blemishes, and foreign material, delivering deep-learning–refined sorting precision.

Tailored single-belt models for blueberry sorting. Powered by high-resolution VIS imaging and high-performance air ejectors, the system efficiently identifies and rejects discolorations, surface blemishes and foreign material, including underripe, moldy, damaged, shriveled, and clustered berries, delivering deep-learning–refined sorting precision.