IOT BASED FLOOD MONITORING USING ARTIFICIAL NEURAL NETWORK
Author(s):
SWATHI.D, SNEHAA.S, RAGAPRIYA.R, PRIYANKA.P
Keywords:
flood forecasting, Internet of Things, Wireless Sensor Network, Digital Image Processing, Artificial Neural Network.
Abstract
Flood is the most common natural disaster which causes damage to the life and economy. This paper work focuses on the flood forecasting system using Internet of Things(IOT) and Artificial Neural Network(ANN). Along with this the Digital Image Processing technique is implemented to save the life of the victims affected by the flood. The algorithmic approaches have been proved as better flood forecasting scheme and it is used for data analysis in this project. This design incorporates certain monitoring features like water level, humidity, pressure, water flow and rainfall. These parameters for predicting the flood are determined by various sensors and the sensor aggregates data’s and these data’s are collected by the Wireless Sensor Network(WSN) from controller and it is transferred by the GPS to Internet Processing Centre(IPC). The IPC alerts the people community through siren. After flood, the digital image processing technique detects the victims affected by flood depending on the factors like body positioning and the surrounding environment. ANN is used for better accuracy. This information is passed to rescue team using IOT. The results of the analysis which are also appended show a considerable improvement over the currently existing methods.
Article Details
Unique Paper ID: 145369

Publication Volume & Issue: Volume 4, Issue 9

Page(s): 348 - 353
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

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

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies