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AI-powered video analysis system for mine safety violation detection. 24/7 automated recognition, 10 algorithm scenarios, 32 channels per server, no camera replacement needed.
The Mine Video Anti-Violation Intelligent Analysis System applies artificial intelligence video analysis technology to detect and identify safety violations — unauthorized commands, improper operations, and labor-discipline violations — in real time during coal mine production processes. By transforming video surveillance from passive viewing to intelligent understanding, the system elevates mine safety management from "seeing" to "comprehending."
Traditional mine video surveillance systems rely on human operators to watch multiple camera feeds simultaneously — an approach that is inherently limited by fatigue, distraction, and the sheer volume of video streams. The Mine Video Anti-Violation Intelligent Analysis System replaces this manual model with AI-driven, 24-hour continuous automated recognition and analysis, ensuring that safety violations are detected the instant they occur, regardless of operator attention levels.
The system is built on a platform-side centralized analysis architecture, meaning that it leverages existing camera hardware without requiring replacement with specialized AI cameras. This design dramatically reduces deployment costs while enabling rapid rollout across existing surveillance infrastructure. The AI engine continuously analyzes video streams using ten foundational algorithm scenarios: safety helmet detection, monkey-pipe ride detection, pedestrian-during-vehicle-operation detection, belt-crossing detection, absence-from-post detection, key-area intrusion detection, personnel-approaching-shearer-or-roadheader detection, personnel climbing detection, and personnel gathering detection.
When a violation is detected, the system triggers multi-modal alerts including audible alarms, software interface pop-ups, and automatic image and video clip preservation for evidence. The platform also provides auxiliary review and statistical analysis functions, enabling safety managers to identify recurring violation patterns, high-risk zones, and personnel requiring additional training. The system's extensibility allows integration with personnel precision positioning systems, broadcast systems, and other third-party platforms for coordinated safety response.
The hardware backbone consists of standard 2U rack-mounted servers with dual CPUs (each ≥2.4 GHz, ≥16 cores), 128 GB DDR4 memory, and GPU acceleration supporting analysis of up to 32 video channels per server. Storage is configured with two 600 GB system disks and two 4 TB data disks with RAID 0/1/5 support. Network connectivity includes Gigabit electrical ports and 10-gigabit optical ports (with optical modules) and dual power supplies for redundancy. The system supports RTSP, RTMP, HLS, RTP, and GB28181 standard protocols, and is compatible with H.264 and H.265 video encoding formats.
| Parameter | Value |
|---|---|
| AI Analysis Server | 2U rack, dual CPU (≥2.4 GHz, ≥16 cores), 128 GB DDR4 |
| GPU Capacity | 32 channels video analysis per server |
| Storage | 2× 600 GB system + 2× 4 TB data, RAID 0/1/5 |
| Network | Gigabit electrical + 10-gigabit optical, dual power |
| Supported Protocols | RTSP, RTMP, HLS, RTP, GB28181 |
| Video Encoding | H.264, H.265 |
| Max Channels per Server | 32 |
Coal mine safety production monitoring, anti-violation management, underground and surface operation safety supervision, and safety compliance auditing.
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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.
