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AI service platform for mines using real-time video recognition and deep learning to identify personnel, equipment and environment, with automatic conveyor speed control and coal volume analytics.
The Mine Brain AI Service Platform is an artificial-intelligence service platform built on real-time underground video data, using AI image recognition, deep-learning models and automatic alarm mechanisms as its core. It applies advanced digital video, AI image analysis and intelligent control technologies to identify personnel, equipment and environmental conditions in mine production scenes.
Underground mines generate continuous streams of video from hundreds of cameras, far more than human monitoring teams can meaningfully supervise. The Mine Brain AI Service Platform turns this passive surveillance into an active safety and production service. Built on real-time underground video data, it applies AI image recognition and deep-learning models to understand what is happening in each frame — identifying personnel behavior, equipment status and environmental conditions that require attention.
A representative application is conveyor belt monitoring. The platform recognizes coal volume on conveyor belts through intelligent image analysis and outputs control signals that regulate belt speed. When the coal flow is light, the belt slows down; when the flow is heavy, it speeds up — reducing mechanical wear and lowering energy consumption without human intervention. The same perception capability is used to count the volume of coal transported on each belt, giving management quantitative transport-efficiency data per belt section.
Because the platform is built on video infrastructure already present in most mines, deployment does not require replacing existing cameras. The AI models operate on the existing video streams, and detected events trigger alarm mechanisms that deliver actionable notifications. This combination of intelligent identification, automatic control and quantified analytics makes the Mine Brain AI Service Platform a practical stepping stone toward fully automated mine operations.
| Parameter | Value |
|---|---|
| Core Technology | AI image recognition + deep-learning models |
| Data Source | Real-time underground video |
| Control Outputs | Belt speed control signals for conveyor systems |
| Analytics | Transported coal volume counting and efficiency evaluation per belt |
Coal mine conveyor belt intelligent control, video-based safety monitoring, personnel and equipment behavior identification, and mine production efficiency analysis.
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The company is a provider of complete solutions for mine rail transportation dispatching systems and intelligent mine signal control and safety dispatching.
