Ineffective Road Monitoring Hurts Productivity
Ineffective Road Monitoring Hurts Productivity
Mining operations rely heavily on road conditions to maintain production flow. However, heavy hauling cycles and environmental wear cause roads to degrade rapidly, impacting efficiency and safety. Traditional inspection methods—manual survey and periodic review—are slow, inconsistent, and reactive. As a result:
- Safety hazards and road defects go undetected until they become severe
- Fleet productivity is affected due to slower travel speed and equipment damage
- Maintenance decisions are delayed, increasing unplanned downtime and cost leakage
SQE Solution
AI-Powered Road Assessment System using drone-based imagery and computer vision models that analyze road surface conditions continuously. The system detects cracks, potholes, rutting, and early-stage deformation—before they escalate into operational disruption.
Technology Approach
Drone-collected high-resolution terrain and surface imagery
NVIDIA-powered GPU processing for real-time computer vision analysis
Automated hazard classification, mapping & prioritization dashboard
Continuous instead of scheduled assessments
Impact
USD 67.3 Million
potential value impact over 4 years
or
$14.6 Million
annual impact, as a result of:
- Fuel and maintenance cost reduction
- Increased site productivity and optimized fleet cycle times
Achieve up to 77%
faster incident reporting with real-time alerts.
Enable same-day road repairs
through immediate, actionable notifications.
Reduced risk of accidents
by ensuring safe and consistent road conditions
Lower emissions
through improved fuel efficiency resulting from better road quality
Higher operational reliability
with proactive maintenance and fewer disruptions
Transform Your Mining Operations with NVIDIA-Powered AI solutions
Speak with our team to explore deployment options, integration requirements, and early access for 2026.
Contact our AI mining specialists