In the process of mining and transportation, ores are often mixed with wood, steel nails, rags, plastic parts, waste filling pipes and other sundries. These sundries has seriously affected the safety and effectiveness of equipment in the transportation, crushing, grinding and beneficiation . In the past, manual sorting was usually used to remove it, but there are serious safety and occupational health risks in manual sorting, as well as problems such as incomplete manual sorting. The robot for mining can effectively solve the above problems.
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Mingde Optoelectronics artificial intelligence sorting equipment take the lead in
introducing artificial intelligence methods such as deep convolutional neural networks
(CNN) in the field of visible light photoelectric 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.