The quadrotor UAV-based smoke detection system integrates a standard camera, YOLOv8 nano model, and ROS framework, optimized for real-time smoke detection under challenging conditions. The system achieved 95% precision and 88.5% recall, tested through dat (IMAGE)

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The quadrotor UAV-based smoke detection system integrates a standard camera, YOLOv8 nano model, and ROS framework, optimized for real-time smoke detection under challenging conditions. The system achieved 95% precision and 88.5% recall, tested through dat

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The quadrotor UAV-based smoke detection system integrates a standard camera, YOLOv8 nano model, and ROS framework, optimized for real-time smoke detection under challenging conditions. The system achieved 95% precision and 88.5% recall, tested through dataset validation, laboratory simulations, and field experiments. This scalable solution offers early wildfire detection, even in remote and high-risk environments, using limited computational resources.

Credit

Credit: Jesus Gonzalez-Alayon/ Tecnologico de Monterre

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