Abstract
Over the years, the world has witnessed many natural or man-made disasters, whether they are accidents, military operations, or terrorism. Researchers and activists in various civil, medical, engineering, and other fields have worked to reduce the occurrence of these disasters or manage them effectively to ensure the least damage and fewer injuries. In this study, a system was proposed that is capable of detecting the presence of fires that may accompany various types of disasters in a way that ensures the safety of the disaster management team, as well as detecting injured or bleeding people by detecting the presence of blood to speed up their rescue. The system relies on processing images taken from unmanned aerial vehicles (UAVs) over the disaster site. The processing reveals the color gradients of fire and blood using color detection and convolution with an edge detection filter in MATLAB, and then synthesis of the architecture using Excel DSP. The system is then built using System Generator to be implemented on the Field Programmable Gate Array (FPGA). The proposed algorithm was implemented under multiple conditions for both fire and blood, and its implementation was in real-time with a low device utilization of 64.381 MHz and 69.86 frames per second. The results showed the ability of the system to detect fires and the blood of the injured at a high speed and under certain conditions, and it could be developed to become a system approved for most conditions and to be a more comprehensive system in terms of transmitting information wirelessly.
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AlAli, Z.T., Alabady, S.A. Fire and blood detection system in disaster environment using UAV and FPGA. Multimed Tools Appl 82, 43315–43333 (2023). https://doi.org/10.1007/s11042-023-15507-6
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DOI: https://doi.org/10.1007/s11042-023-15507-6