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.
Highlights
In 2019 almost 13 Indian states suffered severely due to natural disasters
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
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
Summary
In 2019 almost 13 Indian states suffered severely due to natural disasters. In these 13 states, more than 1600 people had lost their lives and lakhs of people had lost their homes and livelihood. The main reasons for the usage of machine learning and deep learning for the predictions are because of the huge data that is available on the Internet, the rate of publishing results, the accuracy of the published results and the development of complex algorithms for problem solving. This paper had utilized Convolutional Neural Network (CNN) algorithm which is a deep learning technique and implemented Alex net for comparing results. This paper primarily focuses on classifying the type of disaster CNN would work better for the paper implementation
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