In open-pit mining operations, mining trucks play a crucial role in transporting ore and waste rock, serving as a vital link between the mining face, the crushing plant, and the waste dump. However, the operating environment in mining areas is far more complex than one might imagine: the roads are rugged and dust-filled, and visibility drops significantly during rainy or foggy weather or when working at night; Mining trucks are massive and have an impressive tonnage, resulting in numerous blind spots for drivers, while personnel and equipment move frequently in and out of the loading and unloading areas. If someone enters the hazardous areas around the vehicle in violation of safety protocols, the driver may not notice in time; these blind spots can easily lead to collisions or run-over accidents, posing a serious threat to mine safety.
With continuous technological advancements, AI-powered visual safety monitoring systems are increasingly being deployed in mining truck operations. Serving as the “eyes” of the system, AI-powered visual monitoring cameras equipped with unauthorized intruder detection capabilities in hazardous zones can monitor potential risks in real time, playing a crucial role in enhancing safety management in mining areas and reducing the incidence of accidents.

The AI-powered visual security monitoring system utilizes deep learning technology
It features high-precision detection of unauthorized intruders in hazardous areas
The system provides a 360° panoramic view through high-definition cameras mounted around the mine car, comprehensively covering the vehicle’s blind spots. When someone enters a designated area around the mine car while it is in operation, the AI cameras can identify the person in real time and display them on the screen, overlaying a person-tracking indicator and an alert box. The system then issues real-time audio-visual alerts to the driver, promptly drawing their attention to help prevent collisions.
In addition, the system integrates intelligent features such as lane departure warning and driver fatigue monitoring. When the mine car’s trajectory deviates from the normal path or the driver shows signs of fatigue or distraction, the system automatically issues a warning, helping the mining site achieve comprehensive safety management of “people, vehicles, and the environment.”


360° Panoramic View Provides a More Intuitive View of the Mining Truck’s Surroundings
In addition to AI-powered person recognition, the mining truck solution can also be equipped with a 360° panoramic view system. Wide-angle cameras mounted around the vehicle’s body stitch together video feeds from multiple directions to create a bird’s-eye view of the vehicle’s surroundings on the cab display. This allows the driver to view the vehicle’s surroundings more clearly when reversing, turning, entering loading/unloading areas, or navigating narrow roads. When combined with AI vision algorithms, the system can also highlight identified people or obstacles within the panoramic view, thereby providing: 360° panoramic visibility + AI person recognition + active blind-spot warning—a triple safety assistance system.


Infrared Person Recognition Solves the Challenge of Identifying Personnel in Mine Cars at Night
Mining vehicles often require continuous 24-hour operation, and nighttime transport is a very common operational scenario.
The recognition performance of standard visible-light cameras is easily affected by ambient lighting conditions. In situations such as darkness, backlighting, or localized insufficient lighting, it is difficult for drivers to quickly determine whether there are people around the mining truck.
Therefore, adding infrared person recognition capabilities to mining truck safety monitoring systems can further enhance the vehicle’s ability to detect people at night and under complex lighting conditions.
For example, when using an infrared thermal imaging solution, the system can generate images based on differences in thermal radiation between people and their surroundings. Combined with AI-powered person recognition algorithms, it can detect people in the areas in front of, to the sides of, and behind the vehicle.
When the system detects a person entering a predefined warning zone around the mining truck, it simultaneously marks the target on the cab display and triggers a voice alert: “Watch out for pedestrians!”
Drivers can quickly determine the direction of a hazardous target based on the system’s alert without having to constantly monitor multiple surveillance screens.
For night-shift mining trucks, open-pit mining transport vehicles, and mining areas with complex lighting conditions, the combination of infrared person recognition and AI visual analysis can further compensate for the shortcomings of conventional video surveillance in low-light environments.


Mine Car Solutions Equipped with an AI-Powered Visual Safety Monitoring System
This system helps reduce dangerous accidents caused by unauthorized personnel entering blind spots while vehicles are in operation, providing robust safeguards for safety management in mining operations. Not only does this protect the lives of mining personnel, but it also facilitates the smooth operation of mining activities and further enhances overall production efficiency.
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