Our system integrates state-of-the-art IoT sensors with a powerful AI engine to monitor landslide-prone areas continuously. By analyzing multiple environmental factors in real-time, we can predict catastrophic events before they happen.
A seamless, automated pipeline from data collection to life-saving alerts.
IoT nodes gather environmental data continuously.
Data is transmitted securely to the cloud for processing.
CNN-LSTM models analyze patterns to predict risks.
SMS and dashboard warnings are dispatched instantly.
Equipped with everything authorities need to monitor, predict, and act.
Our Hybrid CNN-LSTM model is trained on decades of local geological data.
Sensors equipped with solar backups and dual-network failovers.
Analyzes tilt, moisture, vibration, and rainfall simultaneously.
Interactive map-based visualization of all sensor nodes and risk levels.
Sends alerts only to residents in the predicted path of the landslide.
Export and analyze historical trends for urban planning and research.
From local community groups to national disaster management authorities, we have a plan that fits.
Designed specifically to address the complex monsoon patterns and geological vulnerabilities of the central highlands, delivering accurate predictions where generic models fail.
Whether you're a local community leader or a national disaster management official, our team is here to help you set up the perfect early warning infrastructure.
contact@lanka-earlywarning.lk
+94 11 2 123 456 (24/7 Available)
Disaster Management Center, Colombo 07, Sri Lanka