Location
https://www.kennesaw.edu/ccse/events/computing-showcase/sp26-cday-program.php
Document Type
Event
Start Date
22-4-2026 4:00 PM
Description
WALL-E is an AI-powered, custom-built quadcopter that surveys disaster zones in real time, classifying building damage and generating a GPS-tagged damage map with no internet required. The system uses an RGB camera for live AI inference and a FLIR thermal camera for additional situational awareness. A custom YOLO based model runs entirely onboard the Jetson Orin Nano, logging every detection via GPS for immediate command use. Future work will expand detection capabilities to include human presence identification.
Included in
GRP-120-138 WALL-E: Wide-Area Aerial Live Learning for Emergency Disaster Evaluation
https://www.kennesaw.edu/ccse/events/computing-showcase/sp26-cday-program.php
WALL-E is an AI-powered, custom-built quadcopter that surveys disaster zones in real time, classifying building damage and generating a GPS-tagged damage map with no internet required. The system uses an RGB camera for live AI inference and a FLIR thermal camera for additional situational awareness. A custom YOLO based model runs entirely onboard the Jetson Orin Nano, logging every detection via GPS for immediate command use. Future work will expand detection capabilities to include human presence identification.