Forest fire detection, validation and early response system

Abstract

An automated early detection system for forest fires using multimodal sensors (CO2, temperature, smoke, anemometer, GPS, thermal imaging camera) with real-time multihop triangulation capabilities. It includes a central server with predictive AI (LSTM, XGBoost), encrypted LoRa / 4G transmission, a mobile app with an interactive map, push notifications, and GPS navigation to the fire's location. This invention surpasses current systems by reducing detection time, increasing geographic accuracy, and scaling cost-effectively without internet connectivity.