Using the advanced AI photoelectric sorting new technology, accurately identify the subtle differences on the surface of the ore, intelligently throw the waste tailings and get the concentrate.

 The difference that can be distinguished by Naked eye  can be separated by  AI intelligent ore sorting machine 

Using the advanced AI photoelectric sorting new technology, accurately identify the subtle differences on the surface of the ore, intelligently throw the waste tailings and get the concentrate.

MingDe mineral separator sorting Iron ore which has been jigging separated , to show How to raise the Iron ore grade further.

Crawler mineral color sorter AI ore sorting machine ore separator The utility model is divided into hopper mechanism, conveyor belt mechanism and sorting chute. The ore enters the conveyor belt mechanism through the hopper mechanism and is transferred to the sorting chute for sorting, which adopts mechanical automatic sorting and reduces the staff labor . With small drop, more materials can be sorted.  

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.  

Mingde Optoelectronics Artificial Intelligence Sorting equipemnt take the lead in introducing artificial intelligence methods such as deep convolutional neural networks(CNN) in the field of visible light photoelectic sorting to  analyze and process material images,and through CNN partial connection,weight sharing,multiple convolution kernels and other methods,during the training process, the multi-dimensional features of  materials are automatically extracted to establish a database,whose sorting effect is far better than traditional photoelectric methods.    

The phosphate ore sorting problem is mainly to solve the phosphate ore throwing waste rock and enriching phosphate ore. Traditional manual or color sorting machine 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 solute the industrial ore sorting problems, widely used in fluorite, talc, potassium feldspar, wollastonite, gold ore, lithium ore and other metal and non-metal ores.

AI  Photoelectric Sorting Technology  can be compound one -step sorting .It will improve the ore grade  and reduce the prduction cost.   Mingde Optoelectronics Artificial Intelligence Sorting equipemnt take the lead in introducing artificial intelligence methods such as deep convolutional neural networks(CNN) in the field of visible light photoelectic sorting to  analyze and process material images,and through CNN partial connection,weight sharing,multiple convolution kernels and other methods,during the training process, the multi-dimensional features of  materials are automatically extracted to establish a database,whose sorting effect is far better than traditional photoelectric methods.

  he new generation of Mingde MAI-TD6 intelligent ore separator breaks through the existing ore separation technology, adopts heavy fast track design, has strong integration technology, large ore particles and high separation output.  

New product with high production for 60 T/H AI photoelectric sorting technology can automatically extract the multi-dimensional characteristics of materials,like texture,shape,color,quality,luster,etc., which greatly improves the sorting effect,expands the sorting scene and material types,to meets the market diversification and  personalized sorting requirements,and solves the problem of limited color sorting materials in current color sorter market.

 AI copper ore sorter can collect the appearance characteristics of manganese mine to create the parameters and build the mathematics model, after deep learning process, it can sort the needed particles from the waste particles. and It also can adjust the parameters according to the client's request to achieve the best effect.