Too Late to Predict:
The Challenge of Early Landslide Warning
Too Late to Predict:
The Challenge of Early Landslide Warning
Slope failure is one of the most dangerous operational risks in mining. Existing monitoring systems typically provide short prediction windows and limited analytical insight—leaving operations reactive and exposed to catastrophic losses.
SQE Solution
AI-Based r capable of detecting micro-movements in real time using high-resolution sensors, processed through NVIDIA GPU inference. The system enables long-term prediction and early warnings to prevent slope collapses.
Technology Approach
Powered by NVIDIA GPU acceleration and inference optimization, the system processes high-resolution camera streams in real time, enabling:
Real-time monitoring of slope micro-shifts using precision sensors
Time-series prediction using machine learning & geotechnical modeling
Integration of external environmental indicators: rainfall, groundwater, seismic events
Analysis of internal geological factors: material type, structural layers, composition
Impact
USD 4–5 Million Value Protected
Reduced operational losses through minimized downtime caused by unexpected slope failures
Higher Decision Confidence
Long-term predictive insights for operations planning
≥50% Cost Reduction
Lower emergency response, evacuation, and recovery expenses
Earlier Safety Intervention
Proactive alerts before failure escalation
CAPEX Loss Prevention
Avoided damage to equipment and critical slope infrastructure
Stronger ESG Compliance
Measurable improvements in risk and safety governance
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