An IoT and AI based Flood Monitoring and Rescue System

International Journal of Engineering Research and Pub Date : 2020-09-24 DOI:10.17577/IJERTV9IS090340

Ajim I. Pathan, Aishwarya P. Kulkarni, Nikita Gaikwad, Prajakta M. Powar, A. Surve

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引用次数: 4

Abstract

One of the biggest natural disasters India had ever faced was floods in Western Maharashtra in August 2005 and August 2019. The primary objective of this research is to provide an innovative and sustainable solution required to monitor flood situations and perform rescue operations in the worst affected Sangli, Kolhapur and Satara districts. This attempt aims at providing IoT-based flood detection and AI-based rescue operation through the system. This research makes use of Internet of Things and Artificial Intelligence technologies to provide a reliable and implementable solution for the above problem. This innovative approach uses Arduino Uno microcontroller for flood detection based on rise of water level, humidity, atmospheric pressure and temperature measured through BMP180 sensor. Raspberry Pi has been used for carrying out drone-based rescue operations by detecting the number of people stuck in flooded regions using YOLO object detection algorithm and notifying concerned authorities about them through web portal and mobile application. Keywords— Artificial Intelligence, Drones, Flood Monitoring System, Flood Rescue System, Internet of Things

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基于物联网和人工智能的洪水监测与救援系统

印度有史以来面临的最大自然灾害之一是2005年8月和2019年8月西马哈拉施特拉邦的洪水。这项研究的主要目标是提供一种创新和可持续的解决方案，以监测受灾最严重的Sangli, Kolhapur和Satara地区的洪水情况并开展救援行动。本次尝试旨在通过系统提供基于物联网的洪水检测和基于人工智能的救援操作。本研究利用物联网和人工智能技术，为上述问题提供可靠、可实现的解决方案。这种创新的方法使用Arduino Uno微控制器进行洪水检测，基于通过BMP180传感器测量的水位、湿度、大气压力和温度的上升。树莓派利用“YOLO”目标探测算法，探测被困在洪水地区的人数，并通过门户网站和移动应用程序通知有关当局，进行无人机救援行动。关键词:人工智能，无人机，洪水监测系统，洪水救援系统，物联网

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International Journal of Engineering Research and

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