Intelligent sorting machine is a mining sorting equipment that realizes mineral sorting based on the differences in ore color, texture, shape, gloss, etc., through photoelectric systems, image vision, artificial intelligence, big data and other means. It can meet the specific surface special difference mineral sorting, such as quartz, calcite, barite, wollastonite, talc, calcium carbonate, brucite, silica slag, pebbles, gold mines, coal gangue, coal-series kaolinite, lead-zinc ore, copper mines and other minerals and some specific characteristic difference materials. The important scope of Internet of Things application is industry. In recent years, with the great development of Internet of Things technologies such as artificial intelligence, big data, RFID technology, and sensor technology, terminal products have also experienced practical application verification and use. Intelligent interconnection has become the trend and consensus of product development in the industrial field. Intelligent sorting machine is a sorting equipment that realizes material sorting based on the differences in color, shape, texture, texture, gloss, etc. of the selected materials, through photoelectric recognition, image processing, artificial intelligence and other means. With the development of digital technology, the types of color sorters are also constantly updated and developed. Starting from photoelectric (analog) technology, to CCD (digital) technology application, and then upgraded to intelligent sorting machine technology. At present, the new intelligent sorting machine developed based on cutting-edge technologies such as the Internet of Things, artificial intelligence, and image vision has fully realized functions such as automation and intelligent learning, which can effectively improve sorting efficiency and accuracy, and greatly reduce production costs. The artificial intelligence solution is aimed at the materials to be selected, using software intelligent modules based on intelligent recognition, image vision, big data analysis, etc., and integrating hardware such as industrial computers, high-definition cameras, light sources, and sorting systems. This solution realizes the intelligent controllable sorting of the machine through the combination of software and hardware, improves the limited sorting materials, and expands the sorting and use scenarios. The scope of sorting has broken through from color sorting to the sorting of minerals with multi-dimensional feature differences. The specific workflow of the intelligent sorting solution is as follows: First, the personnel will confirm the good and bad materials, sort a number of good and bad materials manually, and collect and train images on the smart machine respectively, extract the surface texture, gloss, texture, state, color and other features of the ore and gangue to establish a sorting model. The material enters the conveyor belt through the vibrating hopper and is thrown into the sorting room through the conveyor belt. The upper and lower sets of ultra-high-definition cameras will perform multi-dimensional stereoscopic scanning on each mineral material, and transmit the information of each mineral material from the sensor to the industrial computer; It uses model recognition and algorithms to identify good and bad materials, and issues instructions to the solenoid valves corresponding to the area where the gangue is located, using pneumatic force to accurately separate. The above-mentioned intelligent sorting machine is fully automated and does not require human intervention. And it can be controlled, adjusted, and learned later according to the sorting situation, creating solid technical support for improving the performance of automated production lines, efficient data collection, sorting efficiency and accuracy, and sorting costs. The efficiency of the sorting scheme depends on the equipment technology integration and hardware configuration performance. Mingde artificial intelligence sorting machine uses image visual enhancement technology, non-massive data migration technology, AI photoelectric sorting technology, material rapid identification technology, artificial intelligence sorting technology, etc. in terms of software. In terms of hardware supporting facilities, it adopts an upper and lower double-mirror design. With the image visual recognition system that can support multiple sets of cameras to work at the same time, this solution can handle a large number of material sorting tasks with extremely high accuracy and low error rate.   The operating platform is equipped with an industrial computing-grade computer that can process large amounts of data. The data processing is sensitive and the operation speed is fast, which improves the data transmission rate in different application scenarios. In addition, for data processing and analysis, it is equipped with the Mingde AI artificial intelligence sorting system, which can provide functions such as detection, modeling, identification, and sorting of multi-dimensional surface features of the sorted materials. Mingde is an artificial intelligence sorting equipment that brings high-quality sorting solutions to industrial automation rial automation.