IDSS Udinus

Team Overview

The AI in Conservation & Disasters research team is committed to utilizing artificial intelligence technology to protect the environment and mitigate the impacts of natural disasters.

We integrate Machine Learning, satellite/drone image processing, and data analytics from various weather sensors. The solutions we develop are designed to provide Early Warning Systems, monitor ecosystem damage, and assist in precise evacuation processes based on spatial data.

Key Focus Areas

Early Warning Systems

Real-time analysis of weather, seismic, and geographic sensor data to detect potential floods, landslides, or earthquakes before they occur.
Environmental Monitoring

Applying Computer Vision to aerial imagery (drones/satellites) to track deforestation, monitor endangered wildlife, and analyze land cover.
Disaster Response & Recovery

Automated post-disaster damage mapping and logistics optimization to help Search and Rescue (SAR) teams determine the safest evacuation routes.