Publication Type : Conference Paper
Publisher : IEEE
Source : 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), 1637-1643. 10.1109/ICSSAS57918.2023.10331648.
Url : https://ieeexplore.ieee.org/document/10331648
Campus : Bengaluru
School : School of Engineering
Department : Electrical and Electronics
Year : 2023
Abstract : Keeping a record of catastrophes is critical in order to mitigate their consequences, as well as the harm they do to the living world and inhabitants; unmanned aerial vehicles (UAVs) may mitigate this by outfitting the cameras that capture images of the regions of interest. The rapid expansion of unmanned aerial vehicles in several industries has driven researchers to investigate the potential advantages of employing them in disaster management. UAVs contribute in the construction of the link between those affected, those who survived, and the assigned rescue crew. This work tackles the communication technologies that brought the development of UAV disaster management systems, such as humanitarian interpersonal interaction, and live picture processing, as well as the initial study that was conducted aimed at showing the positive aspects of UAV systems.
Cite this Research Publication : Chaganti, Pavan & S, Syama. (2023). "Advanced UAV Construction Technique and Real-Time Image Processing for Enhanced Aerial Intelligence". 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), 1637-1643. 10.1109/ICSSAS57918.2023.10331648.