Early detection of flood using ML and IOT

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Early detection of flood using ML and IOT
Author(s):
Supraja V Maskikar, P Bindu Divya, Chitrashree N, Sanjana H Bhonsle, Parvati Kadli, Roopesh Reddy, Ramesh Byali, Hima Bindu Sadashiva Reddy
Keywords:

Abstract
Flood which is a complex phenomenon happening all over the world is the ultimate result of climate change. Although there are some gauging stations which are used to predict the occurrence of flood, but they are not really accurate. Unexpected occurrence of flood is causing damage not just to the lives of people but also to the valuable infrastructure. The purpose of our project is to develop a real time and reliable flood monitoring and detection system using deep learning. This paper proposes an wireless sensor networking technology as the reliable, low power and wide area communication for flood detection. Beside that we employee Convolutional Neural Network to detect the presence of living beings who got struck in the flood.
Article Details
Unique Paper ID: 155249 Publication Volume & Issue: Volume 9, Issue 1 Page(s): 350 - 355
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