Post Disaster Rescue Assist using Machine Learning
K. Gangadaran1, R. Dhinesh2, S. Sam Peter3

1K. Gangadaran*, CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India.
2R. Dhinesh, CSE Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India.
3S. Sam Peter, Assistant Professor at Sri Krishna College of Technology, Coimbatore.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 28, 2020. | Manuscript published on April 10, 2020. | PP: 413-415 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3449049620/2020©BEIESP | DOI: 10.35940/ijitee.F3449.049620
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Abstract: During any disaster, the first step is to formulate a disaster rescue team to help those in distress. When the team goes into action, it is important to analyse the survivors withstood on the rooftops. It is hard to search for rooftop survivors by entering and searching every house. So, there are many Machine Learning techniques and algorithms such as image recognition and classification and these can be quite helpful in assessing the survivors as the algorithms can analyse and observe images from the sources. They can also identify the rooftop survivors and make a mark over them. Machine Learning can quite effectively identify humans apart from environmental objects, flooding, blocked roads from the disaster occurred locations. 
Keywords: Drone Assist, Flood Rescue, Machine Learning, SIFT
Scope of the Article: Artificial Intelligence and Machine Learning.