Arduino-Powered Accident Detection with Cloud-Based Emergency Alerts

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. Key Words: Accident Detection, Arduino Nano, ESP8266, GPS Tracking, Cloud Notification

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-17
DOI
https://doi.org/10.55041/ijsrem48131
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
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article

Arduino-Powered Accident Detection with Cloud-Based Emergency Alerts

N. K. Mondal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Fire Detection and Safety Systems
article

Arduino-Powered Accident Detection with Cloud-Based Emergency Alerts

N. K. Mondal
article en

Abstract

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. Key Words: Accident Detection, Arduino Nano, ESP8266, GPS Tracking, Cloud Notification

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 88%
Fire Detection and Safety Systems
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