Galileo aid drone aerial view. (a) Identification of a person using YOLOv3, (b) Thermal image of an small fire.

Galileo aid drone aerial view. (a) Identification of a person using YOLOv3, (b) Thermal image of an small fire.

Contexts in source publication

Context 1
... Cameras: The system has two mounted cameras to acquire aerial views of the scene, the first one is the LWIR FLIR Lepton 2.5 camera to obtain and monitor thermal images of the fire with a resolution of 80x60 pixels and a spectral range with a longwave infrared of 8 µm to 14 µm see Fig. 3(b), and the second one is the Google Coral RGB camera that is used to detect people and property at potential risk. In addition, to avoid possible collisions with obstacles, an Intel RealSense D435i is mounted. This camera provides RGB and Depth images with a resolution up to 1920x1080 pixels at 30 fps for RGB and 1280x720 pixels at 90 ...
Context 2
... This module is used because it is a state-ofthe art solution to do real-time object detection in images using limited resources and it still very fast. Specifically, a custom CNN was trained based on a subset of the COCO Dataset using the categories that are more important to identify in a disaster such as people, animals and property as shown in Fig. ...