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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48131

Arduino-Powered Accident Detection with Cloud-Based Emergency Alerts

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48131

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48131

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NM

Niladri Mondal1

NP

Namrata Pal2

NG

Neha Ghosh3

SC

Sumanta Chatterjee4

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Abstract

This paper presents a smart and cost-effective Accident Detection and Notification System that leverages an Arduino Nano, ADXL335 Accelerometer Sensor, Neo-7M GPS Module, ESP8266 Wi-Fi Module, and Google Sheets for real-time monitoring and emergency alerting. The system is designed to detect sudden impacts using the ADXL335 sensor, which monitors changes in acceleration across the X, Y, and Z axes. Upon detecting a significant acceleration spike indicative of a potential accident, the Arduino Nano activates the Neo-7M GPS Module to obtain precise location coordinates. These coordinates, along with a timestamp, are transmitted to a cloud-based Google Sheet using the ESP8266 Wi-Fi Module. A Google Apps Script is integrated with the spreadsheet to automatically generate and send an email notification containing a clickable Google Maps link pointing to the accident location. This ensures that emergency contacts receive immediate and accurate information, enabling a faster response to the incident. The system eliminates the dependency on traditional communication modules and offers a wireless, internet-based alternative that is both scalable and energy-efficient. The approach demonstrates a reliable solution for improving road safety and emergency management, particularly in urban and semi-urban environments.

KEYWORDS

Accident Detection Arduino Nano ESP8266 GPS Tracking Cloud Notification

Cite This Article

Niladri Mondal1, Namrata Pal2, Neha Ghosh3, Sumanta Chatterjee4, "Arduino-Powered Accident Detection with Cloud-Based Emergency Alerts," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48131

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Publication Date

5/17/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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