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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

Measurable Outcome

USD 67.3M

Potential value impact secured over 4 years through proactive road condition monitoring

Road Assessment 2025 · Operations Team
77% faster incident reporting

Real-time alerts enable same-day road repairs, reducing accident risk and fuel inefficiency from deteriorated haul roads

Reactive → Proactive

From periodic inspections to continuous AI monitoring with immediate actionable notifications and same-day repair capability

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