INTEGRATED DRONE FOR EFFECTIVE DISASTER MANAGEMENT
Journal: International Journal of Advanced Research (Vol.13, No. 03)Publication Date: 2025-03-20
Authors : G. Sree Lakshmi Sk. Nasreen T. Bhargavi P. Jaswanth Sri Sk. Seema Afrin; Sk. Seema Afrin;
Page : 359-366
Keywords : Dual Mobility Drone-Rover System UAV Integration AI-Based Detection Models;
Abstract
This study presents the Dual Mobility Drone-Rover (Drover) System, an advanced solution for real-time disaster monitoring, detection, and alerting by integrating unmanned aerial vehicles (UAVs) and ground rovers. The system is designed to detect and track natural disasters such as fires, landslides, and earthquakes using a combination of aerial and ground-based sensors. An RC FPV drone equipped with an ESP32 camera captures and streams live video to a laptop, where the YOLO (You Only Look Once)algorithm processes the feed to identify fires and landslides. For seismic activity detection, a NodeMCU with an accelerometer senses earthquakes and transmits data to a laptop via the ThingSpeak cloud. To ensure rapid response, the system provides real-time alerts through beep sounds and visual notifications, enhancing situational awareness and enabling timely action. By leveraging real-time data processing and cloud-based communication, the Drover System offers an efficient and reliable approach to disaster management, minimizing damage and improving emergency response capabilities.
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