Russia Mining Vehicle Monitoring System

Russia Mining Vehicle Safety Monitoring System

Date Time: March 27, 2025
Reading volume: 29
Author: China YUWEI

Russia Mining Vehicle Monitoring System


Russia is the world's richest country in terms of mineral resources, with a large fleet of mining vehicles. As the "artery" of mining operations, the intelligent upgrade of mining vehicles is urgently needed. Deploying intelligent onboard monitoring systems not only enhances operational safety and efficiency but also enables smarter, more efficient vehicle management, becoming an essential part of the mining industry’s digital transformation. YUWEI provides a safety camera monitoring system for Russia's mining fleets to assist with tracking and management.

 Russia Mining Vehicle Monitoring System

DMS Driver Status Monitoring

In high-intensity and high-risk mining operations, driver fatigue and distraction are "invisible killers" that trigger accidents. Statistics show that over 90% of coal mine production safety accidents are directly related to unsafe human behaviors.

 

To address the inefficiency and delay of traditional manual inspections, YUWEI’s DMS driver status monitoring system uses deep learning AI technology and facial recognition. It collects images of the driver's face through cameras, locates head posture, and captures current facial features to detect fatigue, distraction, or other violations in real time. When abnormal driving behaviors are detected, the system will automatically issue an alert, reminding the driver to adjust their state, thus reducing accidents caused by human factors through efficient smart intervention.

 

BSD Blind Spot Monitoring

Although mining areas are typically enclosed, with fixed routes and strict control, mining vehicles are often large and heavy, which can cause blind spots that affect driver judgment. If individuals violate safety regulations and approach too closely during operation, these blind spots could lead to run-over or collision accidents. Therefore, blind spot monitoring is critical to ensuring the safety of mining vehicles.

 

YUWEI’s BSD blind spot monitoring system in China is equipped with AI cameras that incorporate high-precision pedestrian and vehicle detection algorithms, enabling it to identify risks around the vehicle in real time and with precision. When a person or vehicle enters a predefined "detection area," the system proactively provides multi-level safety warnings, using red, yellow, and green alert boxes along with an audio "ding" to help the driver react in time and take appropriate measures, effectively preventing potential collision risks.

 Russia Mining Vehicle Monitoring

Millimeter-Wave Radar Detection

In dusty operational environments such as open-pit coal mines and metal mine blasting and loading sites, traditional optical sensors are prone to interference from environmental factors, making it difficult to maintain stable and effective monitoring. Radar sensors offer significant advantages in overcoming this challenge.

 

YUWEI’s millimeter-wave radar detection system generates images by transmitting and receiving radar waves, offering excellent perception capabilities even under complex conditions. When construction workers, operational vehicles, or obstacles (such as rock piles) enter the detection range, the system responds quickly, overlaying real-time video footage with audio warnings. This technology is particularly useful for mining vehicle reverse driving, parking, and blind spot monitoring scenarios, providing reliable monitoring information for drivers through radar-detected images and precise distance measurements, ensuring round-the-clock, efficient monitoring under complex conditions.

 

360-Degree Panorama Driving Assistance

In narrow mining tunnels, ore stockpiles, or equipment junctions, if a mining vehicle driver is unable to fully grasp the surrounding situation, they may need to frequently lean out to observe, which not only increases safety hazards but also affects operational efficiency. So, how can drivers be ensured to have real-time, comprehensive awareness of their environment?

 

YUWEI’s 360-degree panoramic system provides an effective solution. This system uses wide-angle HD cameras to capture images and generate seamless 360-degree 1080P panoramic views, presenting the surrounding environment in real-time to improve driver safety and operational efficiency. The system’s pedestrian and vehicle detection features further ensure operational safety. Notably, YUWEI’s 360-degree system uses a one-minute automatic calibration technology, a breakthrough that simplifies the complex calibration process typical of traditional panoramic systems, significantly improving system convenience and practicality.

 

With the widespread use of mining inspection, operational, rescue robots, and autonomous vehicles, the all-around visual support provided by the 360-degree panoramic system will play an increasingly important role in efficient collaborative operations.

 Russia Mining Vehicle Monitoring System

AI 4G Vehicle Networking

Mining operation areas are vast, and vehicle scheduling and management face many challenges. Traditional management methods cannot acquire vehicle locations and operational status in real time, leading to low scheduling efficiency.

 

YUWEI’s intelligent onboard hard disk video recorder integrates 4G networking to enable remote monitoring through both PC and mobile devices, allowing management personnel to access key information such as vehicle positions, historical routes, and operational status in real-time. The device integrates intelligent algorithms such as ADAS, DMS, BSD, and 360AVM, enabling real-time monitoring of dangerous driving behaviors and vehicle anomalies. Data is automatically uploaded to the fleet monitoring platform, facilitating quick emergency responses and scheduling by management. Furthermore, the system supports event data analysis and platform-based management, providing robust support for fleet smart decision-making and control, enhancing overall scheduling efficiency and safety management.

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