Abstract: Natural disasters are events that can't be prognosticated both by position and time of circumstance. Natural disasters beget property losses and can indeed take lives. The running of rapid-fire evacuation must be done by the SAR platoon to help victims of natural disasters to reduce the quantum of loss, Bst in reality, there are numerous obstacles in the evacuation process. Starting from facing delicate terrain to necessary outfit limitation. In this exploration, a system designed to descry victims of natural disasters uses image processing where the picture is carried out using a drone that points to help find victims in delicate or vulnerable locales when reached directly by humans. Grounded on this back ground, this exploration proposes the development of a system for the discovery of victims of natural disasters that aims to help the SAR platoon and natural disaster levies in searching for victims who are in hard to reach places. The You Only Look formerly( YOLO) system is enforced using the python programming language related to image processing. From the exploration that has been done, the delicacy result of detecting objects of disaster victims is 89.
Works Cited:
Dr. Tegil J John, Vyshnavi S Prakash, Adi Vinayak K V, Archana M " OBJECT DETECTION IN DISASTER MANAGEMENT", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 9, pp. 92-95, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.12915
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DOI:
10.17148/IJARCCE.2023.12915
