Tailored chute models for premium rice sorting. Powered by AI-driven ultra-high-resolution VIS imaging and high-performance air ejectors, the system more efficiently identifies and rejects imperfect kernels and foreign material, delivering deep-learning–refined sorting precision. Each chute is equipped with 88 nozzles, making it the most technologically advanced model in Lauffer's rice color sorter product line.

Dual-belt models tailored for ore sorting, 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 differentiates minerals from waste rock by identifying surface features, delivering deep-learning–refined sorting precision.

Tailored chute models for agricultural seeds sorting. Powered by AI-driven ultra-high-resolution VIS imaging and high-performance air ejectors, the system more efficiently identifies and rejects defective kernels and foreign material, delivering deep-learning–refined sorting precision.

Single-belt models tailored for ore sorting. Powered by dual-sensor fusion and high-performance air ejectors, the system pre-concentrates and upgrades ore grade by leveraging dual-energy X-ray transmission and AI-driven high-resolution VIS imaging, delivering deep-learning-refined sorting precision.

Sigle-belt models tailored for C&I waste recycling. Powered by AI-driven high-resolution VIS imaging and high-performance air ejectors, the system efficiently recovers target secondary raw materials from waste streams, delivering deep-learning-refined sorting precision.

Dual-layer models tailored for quartz sand sorting. Single-pass dual-stage sorting with secondary re-inspection mechanism maximizes sorting purity. Powered by ultra-high-resolution VIS imaging and high-performance air ejectors, the system precisely identifies and rejects discolored and heterogeneous particles based on surface features, significantly boosting SiO₂ purity.