project
Wildfire Sentinel
A solar-powered camera and thermal node that detects wildfire smoke and ignitions entirely on an Arduino UNO Q, using integer-only SuperFloat CNNs. It alerts over whatever link survives, and no image ever leaves the board.
edge-ai
5 posts
project
REMA — Intelligent Resource Management Assistant for Emergencies
REMA is an offline Edge AI assistant designed to support people during emergencies and infrastructure failures. It identifies available resources, translates them into practical capabilities, and helps users prioritize those capabilities according to their immediate needs. Unlike a generic chatbot or survival guide, REMA uses a local resource capability map and validated safety rules to provide recommendations based on what is actually available. The system can update its recommendations when resources are added, removed, or depleted. REMA is designed to work without internet or cloud connectivity, making it useful when critical infrastructure is unavailable. When infrastructure fails, use what remains.
project
Early wildfire detection: a detector on any camera, one integrator to weigh them all
Edge wildfire detection and evidence fusion: a detector on any camera, as small as an ESP32, one integrator to weigh their reports. Kernwerk.
project
Early wildfire detection: a detector on any camera, one integrator to weigh them all
Edge wildfire detection and evidence fusion: a detector on any camera, as small as an ESP32, one integrator to weigh their reports. Kernwerk.
project
SentinalNet
Autonomous edge AI nodes that detect disasters like fire and flooding, make local decisions, and warn people in real time — with zero cloud dependency. Built on the Arduino UNO Q with Edge Impulse models.