Monitor continuously. Predict early. Protect better.
Landslide Monitoring System
The AI-Powered Landslide Monitoring & Early Warning System is a smart platform designed to help authorities monitor and manage landslide risks effectively.
It combines IoT sensors, GNSS/GPS, inclinometers, piezometers, soil moisture and crack sensors, along with weather data to continuously monitor slope conditions and identify early signs of instability.
Using AI, GIS, and real-time analytics, the system helps predict potential landslide risks and provides timely alerts, giving authorities and response teams valuable time to take preventive action.
By bringing monitoring, analysis, and alerts together on one platform, the system supports better disaster preparedness and helps protect lives, infrastructure, and critical assets.
Functionalities
Real-time slope movement monitoring
AI-based landslide prediction and risk assessment
Multi-sensor integration (GNSS/GPS, Inclinometers, Piezometers, Crack Sensors)
Soil moisture monitoring at multiple depths
Rainfall threshold analysis
Ground displacement monitoring
Pore water pressure monitoring
Weather station integration
GIS-based landslide hazard mapping
AI-enabled visual surveillance cameras
Tech Stack
Layer
Technology Stack
Layer
Technology Stack
Frontend/Mobile
React
Backend
Python
Database
MSSQL
Cloud & Hosting
AWS
Notifications & Services
Firebase Cloud Messaging (Mobile Application) / MessageHUB / SignalR
Clients
Testimonials
"In disaster management, time is our most critical asset. Deploying this automated flood management system in Kolhapur has fundamentally enhanced our emergency response capabilities. By giving us reliable early warnings 48 hours before peak flooding, the system provides a crucial window to mobilize response teams and safely evacuate citizens from high-risk zones. It has transformed how we manage monsoon crises, turning reactive emergency measures into proactive, life-saving strategies."
Prasad Sankpal
District Disaster Management Officer
Flood Forecasting System
July 2023
