Intelligent Wildfire Early Warning System Based on Sensor Fusion
The project develops a low-cost, long-life, and low-power wildfire early warning system using the fusion of multi-band IR photodiodes, thermopile sensors, and gas sensors. The system integrates data preprocessing and machine-learning algorithms and transmits event-based data via LoRaWAN to maximize energy efficiency. The project is at TRL-6 level, and optimization and productization efforts are ongoing.
