IOT Based Early Flood Detection and Alarming ...

IOT Based Early Flood Detection and Alarming System for Disaster Management Using Machine Learning

Author Name : Abhilasha J L, Sudha H

ABSTRACT

Floods can occur at any time of the year when flooding surges from with a levee, lake, especially because of a significant amount of rainfall. When there are floods in a populous location, everything is carried away by the water, including homes, automobiles, machinery, and even people. Property, trees, and many other heavy objects can all be destroyed by it. In Metro Manila, flooded roadways have long been an issue. It increases traffic flow. When trying tolocate alternate routes to get to their destinations, both computers and drivers are getting trapped in flooded areasand becoming lost. People's money, time, and effort were squandered when traffic occurred. Even though the local administration has been increasing its efforts to notify commuters about the condition in flooded areas throughout the rainy season, the residents still do not receive adequate information. To aid road users in preventing this issue from occurring, the " The "Arduino Flood Detector System" was created to find live people in flood-affected areas. It was created in response to a difficulty experienced by drivers and commuters after a flood. When a flood happens, the sensor module will send a signal to the processor circuit, and the computer will show the observed water level just on user interface and sends a short- message service (SMS) automatically up on until water level is observed is back to normal.

Keywords- Deep Convolutional neural networks, Machine learning, Arduino, Sensors, Wifi.