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.

Tailored single-belt models for blueberry sorting. Powered by deep integration of hyperspectral imaging and AI-driven high-resolution VIS imaging, coupled with high-performance air ejectors, the system efficiently identifies and rejects soft berries, discolorations, surface blemishes, and foreign material, delivering deep-learning–refined sorting precision.

Tailored multi-array roller models for advanced grading of fresh blueberries. Featuring 360° inspection based on hyperspectral imaging and high-resolution VIS imaging, along with high-performance air ejectors, the system enables multi-grade blueberry sorting in a single pass. Deep learning on real production data continuously optimizes surface feature detection.

Tailored chute models for pulses and 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 chute models for regular rice sorting. Powered by high-resolution VIS imaging and high-performance air ejectors, the system efficiently identifies and rejects imperfect kernels and foreign material. Each chute is equipped with 64 nozzles, making it a standard equipment and classic series in Lauffer's rice color sorter product line.