Self-rescue equipment wearing detection
The system analyzes, records, identifies, tracks and alerts on whether self-rescuers are worn according to regulations. It automatically sends an alert if a worker is not wearing self-rescue equipment as required. The system automatically saves the time, location and corresponding photos as evidence for punishment. On-duty personnel can remotely or on-site correct and supervise the wearing of personal protective equipment based on the uploaded data images.
Personnel access detection, safety warning sign recognition
Identification of the installation status of personnel access and safety warning signs.
Oversized tool detection
Identify whether anyone is carrying oversized or overlength tools. Bringing oversized tools onto the monorail will trigger a tool carrying warning.
Mine cart detection, warning sign detection
Identify whether the mine car is overloaded; if the mine car has entered the parking area and is stationary, identify and warn other mine cars entering from different tunnels to prevent collisions with the stationary mine car; after the mine car operation is completed, quickly reset the obstacles to prevent the mine car from rolling down. Identify whether the mine car is overloaded; if the mine car has entered the parking area and is stationary, identify and warn other mine cars entering from different tunnels to prevent collisions with the stationary mine car; after the mine car operation is completed, quickly reset the obstacles to prevent the mine car from rolling down.
Closed wall status detection
Determine whether opening the sealed area is illegal. If unauthorized mining of the mine shaft is conducted without the consent of the relevant departments, please report it immediately.
Belt deviation detection, foreign object detection
When conveying materials, if the conveyor belt deviates or encounters foreign objects exceeding the specified limits (such as oversized blocks and anchor rods), a warning should be issued immediately.
Device operation status detection
Identify the operating status of electromechanical equipment
Hard hat inspection
The system will analyze in real-time whether safety helmets are worn according to regulations through on-site video recording, identification, tracking, and alarming. If it is found that workers are not wearing safety helmets as required, the system will automatically issue an alarm and remind supervisors. The system will automatically save the time, location, and corresponding photos as a basis for punishment. On-duty personnel can remotely or on-site correct the uploaded data and pictures.
Smoking detection
When a target individual smokes in the monitored area and faces the camera, the system will trigger an alert and automatically save the time, location, and corresponding photos as evidence for punishment. On-duty personnel can remotely or on-site correct the situation after reviewing the uploaded video.
Violation of passenger carry-on inspection
Determine whether workers are engaging in dangerous behaviors, such as lying on or riding mine carts.
Vehicle inspection, vehicle count detection
Identify the operating status of vehicles on major traffic roads.
Face recognition detection
Using facial recognition technology, combined with personnel positioning and precise positioning systems, it is possible to query the trajectory of underground personnel and identify personnel in real time, thus fully realizing the video retrieval function of personnel work scenes.
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