Intelligent Mining Sorting Equipment

Deep Learning Network: Developed in collaboration with the Tsinghua University Brain Science Laboratory, this deep learning network is specialized in X-ray signal feature recognition, enabling high-precision identification of various ores.
Perspective Imaging Principle: Based on the principle of perspective imaging, it accurately detects the internal composition of objects.
AI Material Recognition Algorithm: Built on an embedded system, it enables high-speed, high-precision material analysis and recognition.
Fully Digital Architecture: Uses a fully digital architecture with high electronic sound reliability. It supports a maximum transmission rate of 1000 Mbps, with selectable pixel sizes of 0.1/0.2/0.4/0.8/1.6 mm, and supports a sampling rate of up to 12K.
Deep Network Feature Learning: Based on deep network feature learning, it realizes feature classification and recognition.
High-Speed Precise Jetting: One of the core technologies is high-speed and precise jetting technology.

Product Features and Characteristics

Blowing and Sorting System: Designed with different blowing modes for different particle size ranges, flexible and with fast response speed. It uses industry-leading FPGA-based sub-millisecond response control and can be configured for up and down blowing modes based on customer needs.
Intelligent Sorting Machine: Equipped with intelligent sorting capabilities, it can precisely sort materials based on their unique characteristics.
Customized Services: Provides custom models that adapt to various mining environments, including high-altitude and low-temperature environments.
Project Services: Includes professional experiments and exploration to develop optimal sorting solutions, professional process designers to create process plans, and personnel operation training systems.

Mobile Client Statistics: Features a mobile client statistical background for real-time monitoring of production capacity, fault alarms, and remote control background pages.

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