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AI Mineral Sorting Machine
Spodumene Ore separated by mineral sorting machine discarding the impurity and removeing the iron

Spodumene Ore separated by mineral sorting machine discarding the impurity and removeing the iron

Traditional manual or color sorting machines cannot balance efficiency and output. The artificial intelligence sorting machine can be perfectly compatible with the advantages of both, and can be applied to sorting difficult and complex characteristics of the ore.

Artificial intelligence sorting machine professional solve  industrial ore sorting problems, widely used in spodumene,fluorite, talc, potassium feldspar, wollastonite, gold ore, lithium ore and other metal and non-metal ore.

 

 

Traditional manual or color sorting machines cannot balance efficiency and output. The artificial intelligence sorting machine can be perfectly compatible with the advantages of both, and can be applied to sorting difficult and complex characteristics of the ore.

Artificial intelligence sorting machine professional solve  industrial ore sorting problems, widely used in spodumene,fluorite, talc, potassium feldspar, wollastonite, gold ore, lithium ore and other metal and non-metal ore.

 

AI ore sorting machine feature 

1,it’s the first to introduce artificial intelligence means of neural network in the field of sorting,which solves the problem that color sorting machine can only separate according to simple criteria.

2, The sorting mode is established according to users’ sorting requirements to meet users’ diversified and personalized sorting requirements.

3,We own the self-developed software system and closed machine structure, the main internal components are all imported,which can adapt to the harsh environment requirements like high dust,high pollution, and high corrosion in the industry and mining area.It has a wider application range and longer life.

4,Flexible track-type material conveying system,with samll drop,large output,and suitable for the sorting of more materials.

5,The vibrating feeding part and the main part of the equipment adopt a split structure to avoid the impact of vibration generated during the feeding process on the host and make the equipment operation more stable.

6, the sorting effect can be continuously improved by learning mode, and the deep learning mode can be developed.

7,High intelligence,remote debugging,smart monitoring,remote service and software upgrading.

Sortable ores

Applicable sorting ore materials

Talc, wollastonite ,calcite, quartzite

Fluorite, Potassium feldspar, Magnesite, Lithium pyroxene

Phosphate ore, Gold ore, High crystal silicon, oxide copper ore

Barite, bauxite ,lead-zinc ore and fluorite, barite lead-zinc ore

 

Not limited to the above ores, eye visible distinctions are applicable to AI sorting machines!

A wide range of sorting materials, can be applied to nuts, grains and cereals, Chinese herbs, dehydrated food and other materials sorting.

 

 

 

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