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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

COSMOS: See Faster

COSMOS: See Faster

COSMOS uses AI-Powered Road Assessment System using drone-based imagery and computer vision models that analyze road surface conditions continuously. COSMOS detects cracks, potholes, rutting, and early-stage deformation—before they escalat e into operational disruption.

Technology Approach

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

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