Paper Title

IoT-Based Earthquake and Landslide Detection System

Authors

Rupali Kamathe

Keywords

Landslide; IoT; ThingSpeak; PIR sensor; GSM; GPS;

Abstract

Earthquakes, and landslides have both devastated our lives in different ways. One of the main problems with these natural disasters is that they are unpredictable. To alleviate the problem, the early warning system plays an important role. The need for this project varies according to the landslide or earthquake. If there is any landslide or earthquake, then an alert message is sent to the concerned authorities and people in the prone areas. Earthquakes and landslides are natural disasters that can cause massive devastation to life and property in the affected area. This system monitors and provides information on landslide possibilities and earthquake detection making it available for users using the IoT platform that is ThingSpeak. This project aims to detect the earthquake and landslide at the initial stage with the help of a vibration sensor and PIR sensor and hence an alert message and location are sent through GSM and GPS modules. The proposed model can be used as an alert or warning system that will help to minimize the loss of lives and property.

How To Cite

"IoT-Based Earthquake and Landslide Detection System", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 12, page no.358 - 362, December-2022, Available :https://ijsdr.org/papers/IJSDR2212053.pdf

Issue

Volume 7 Issue 12, December-2022

Pages : 358 - 362

Other Publication Details

Paper Reg. ID: IJSDR_202996

Published Paper Id: IJSDR2212053

Downloads: 000347321

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2212053

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2212053

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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