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
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews