XS Series

• Beryllium window source for accurate inspection of high-density impurities
• AI deep learning technology to deal with complex impurities and defects

Product Introduction

Widely used in beans, nuts, seed kernels, peanuts, fruits and vegetables, tea, aquatic products and other food materials sorting. Effectively removing glass, metal, stone, ceramics and other high-density impurities, as well as worm eaten, hollow and other defects.
 

Application Field

Grain & Pulse: Red Bean, Mung bean, Soybean, Fava Bean, Peanut Kernels

Nut: Walnut, Almond Kernel, Almond, Pecan, Macadamia Nut, Pistachio, Pine Nut, Cashew, Sunflower Seed, Watermelon Seeds, Pumpkin Seed, Hazelnut

Fruit & Vegetable: Dehydrated Carrot, Green Stalk, Frozen Corn, Pepper, Cumin

Aquatic Products: Clams, Shellfish
 

Product Specificities

Adopt international advanced beryllium window source

Clearer imaging, according to the material density, thickness, composition and other dimensions of the naked eye can not identify the detection differences, accurate identification of stones, glass, soil ceramics, metal and other high-density impurities, identification accuracy up to 0.05mm, similar density impurities can also be easily identified.

AI Deep Learning Technology

Based on massive sample database, can quickly build and iterate deep learning sorting model, which can remove complex foreign impurities and defects that are difficult to deal with by traditional algorithms, meet customers' needs for large output, variability and refinement of sorting.