Research and Development in Disaster Prevention
We use advanced IoT technology to create monitoring systems that protect vulnerable communities through early warning alerts and predictive analysis.
What we do
From field data collection to risk prediction, we cover the full disaster-monitoring chain.
Early Warning
Real-time alerts that give communities time to react before disaster strikes.
IoT Sensing
Low-power, multi-protocol sensor networks built for remote, harsh environments.
Predictive Analysis
Machine-learning models that turn sensor data into actionable risk forecasts.
Featured Projects
A sample of the applied research and systems we build.
Landslide Monitoring
Landslide Monitoring
Five-layer system with ruggedized sensors, local MQTT coordinators, multi-protocol units, and centralized backend for continuous slope monitoring.
IoT Sensors
Multi-Protocol
Wireless Networks
Real-time Data
EneMeter
EneMeter
Smart power meter for critical monitoring systems - studies energy profiles between batteries, solar panels and equipment.
Energy Profiling
Monitoring Systems
Solar Analysis
Research Tools
e-Noé
e-Noé
Complete multi-tier platform for hydrological monitoring using wireless sensor networks, machine learning, and interactive web dashboards.
Sensor Networks
Machine Learning
Web Platform
Real-time Analytics