Natural Disaster Discernment and Vigilance

¹ Professor, GRIET, Hyderabad, TS, India.
² Student , Dept of IT, GRIET, Hyderabad, India.
³ Professor of CSE, ISTS women’s college of engineering, AP, India.
⁴ Student Electrical Eng, Mahindra University, Hyderabad, India.

^* Corresponding author: nvgraju@griet.ac.in

Abstract

Natural Disasters like cyclones and Earthquakes have a huge impact on the lives of people, results in damage to infrastructure, and lead to injuries and deaths. IoT Based detection systems are utilized for detecting disasters and performing subsequent rescue operations. The challenge with these IoT Based systems is that collecting data from sensors might be failed due to communication breakages or network congestions. To address this issue, this paper has come up with an idea of implementing Disaster Detection using Convolutional Neural Networks and sending SMS to people for making people alert. This paper aims to particularly detect Cyclones and Earthquakes. Data sets were collected from Kaggle. Convolutional Neural Network is a deep learning algorithm that takes an image as input, assigns weights/biases to a variety of aspects in the image for differentiating one from another image. Applications of this work includes disaster preparedness such as forecasts, warnings and predictions, disaster management and disaster relief operations. A comparative study has been performed on CNN and its variants.