Rockfalls in open-pit mines pose a serious threat to workers and equipment, leading to injuries, delays, and financial loss. This system leverages AI, predictive analytics, and multi-source data to transform slope stability assessments into proactive, life-saving insights.
Integrates DEM, drone imagery, geotechnical sensors, and environmental data.
Dynamic visualization of slope stability and vulnerable zones.
Machine learning models predict likelihood of rockfall events with accuracy.
Instant notifications via SMS and Email with suggested action plans.
User-friendly web/mobile interface to monitor hazards and risks.
Low-cost integration, customizable for different mines, adaptable to public/private operations.
The AI-powered rockfall prediction and alert system is designed to be cost-effective, scalable, and adaptable across diverse mine sites. By predicting rockfall events before they occur, it reduces accidents, minimizes downtime, and ensures safer and more resilient mining operations. The proactive approach strengthens disaster management capabilities while saving lives and operational costs.
Reduces risks to miners & equipment
Adaptable for small & large mining operations
Affordable alternative to proprietary systems