Iot-based Earthquake Detection and Alarm System with Real-time
Alerts
Sheena Princess Bon — Joy Elienor Cruz — Jasmine Jaymee Rogayan
Department of Engineering
Collage of Engineering and Computer Technology
∗Wesleyan University- Philippines
Abstract—Earthquakes pose significant threats to human life
and infrastructure due to their unpredictable nature. This study
presents an IoT-based Earthquake Detection and Alarm Sys-
tem designed to provide real-time alerts for enhanced disaster
preparedness and emergency response. The system integrates
an ESP32 microcontroller, an MPU6050 accelerometer, an LCD
display, an LED indicator, a buzzer, and cloud-based services for
remote alert notifications. By continuously monitoring ground
vibrations, the accelerometer detects seismic activity, and the
ESP32 processes the data using a threshold-based algorithm.
Upon detecting an earthquake, the system triggers local alerts via
LEDs and buzzers while sending real-time notifications through
an IoT cloud platform and SMS alerts. The results demonstrate
that the system effectively detects earthquake-like vibrations and
provides immediate warnings, ensuring timely evacuation and
response. The integration of cloud-based data storage enhances
its scalability and accessibility, making it a reliable solution for
earthquake preparedness and mitigation.
I. INTRODUCTION
Natural catastrophes like earthquakes have presented
serious risks to infrastructure and human life in recent years.
Because earthquakes are unexpected and can have disastrous
effects, sophisticated monitoring and early warning systems
must be developed. One possible way to deal with this
pressing issue is to implement an Internet of Things (IoT)-
based earthquake detection and alarm system that provides
real-time alerts.
A network of linked devices that can gather, send, and
analyze data in real time is known as the Internet of Things
(IoT). A network of accelerometers and seismic sensors that
can continually monitor ground vibrations and identify
seismic activity can be installed by utilizing IoT technology.
Rapid data analysis and prompt alert distribution to impacted
areas are made possible by these sensors’ ability to interface
with a central server or cloud-based platform.
Real-time data collection and processing is the main focus
of an Internet of Things-based earthquake detection system.
The technology uses sophisticated algorithms to distinguish
between possible seismic occurrences and typical ground
vibrations. The system may immediately sound alerts and
notify emergency response teams, government officials, and
the public when it detects a possible earthquake. By enabling
prompt evacuation and mitigation measures, this real-time
alarm system lowers the number of fatalities and property
damage [1].
Furthermore, the scalability and flexibility of IoT-based
systems enable the integration of several sensors and commu-
nication protocols. These systems may now efficiently cover
wide geographic areas, including remote and high-risk places,
thanks to the development of wireless communication tech-
nologies like LoRaWAN and 5G [2]. Furthermore, machine
learning techniques and cloud-based data storage can improve
the precision and dependability of earthquake forecasts [3].
There is enormous potential for disaster management and
public safety when an Internet of Things-based seismic de-
tection and alarm system is put into place. To guarantee
the efficacy of such systems, however, issues with sensor
precision, data transfer dependability, and system scalability
need to be resolved [4]. By utilizing cutting-edge sensor
technology and cloud-based data analytics, this project seeks
to design and construct a reliable Internet of Things-based
earthquake detection system with real-time notifications.
II. RESEARCH OBJECTIVES
One of the main goals is to develop an earthquake detection
and alarm system with real-time Alerts:
1. To develop an IoT-based using an ESP32 and an
accelerometer.
2. To design a real-time alert mechanism.
3. To evaluate the system in terms of:
•Functionality
•Efficiency
•Reliability
4. To know the implication of the develop system.
III. METHODOLOGY
The method begins with choosing the ESP32 microcon-
troller and an accelerometer (MPU6050) for sensing ground
motion. Local alarms are provided through an LCD, buzzer,
and LED. Seismic information is gathered from the
accelerom- eter and filtered using techniques to minimize
noise. Threshold levels are established for the identification of
earthquake events correctly. When an earthquake is sensed,
local alerts are pro- duced by the system through a buzzer,
LED, and LCD display. Wi-Fi connectivity supports real-time
alerting via SMS, email, or mobile application notifications.
Cloud storage is provided for data storage and analysis. A web
portal or mobile app provides users with remote monitoring of
earthquake activity for real-time awareness and enhanced
disaster response.
