The classification essence of optical selection machines is the matching of "technical capabilities" and "application requirements":
If the requirement is "simple color separation" (such as rice impurity removal) → select visible light particle color sorter;
If the requirement is "component detection" (such as measuring sugar content in grains) → select near-infrared component sorting machine;
If the demand is for "complex multidimensional sorting" (such as fine fruit and vegetable grading) → choose a multispectral/hyperspectral light sorting machine;
If the material is "block stone" ->select block grain polishing machine, if it is "powder" ->select powder polishing machine.
Clearly define the classification logic and quickly locate the appropriate type of optical sorter based on actual sorting needs (such as distinguishing features and material forms).