AcciAid: IoT‑Driven Real‑Time Accident Detection and Emergency Alert System

Balaji Morasa, Pavan Kumar Naik M., K. Hemalatha, Murali Naik K., Santhosh Kumar M., Yasmin Begum A.

2025

Abstract

The "AcciAid: IoT-Driven Real-Time Accident Detection and Emergency Alert System"offers a life-saving solution for real-time accident detection and quick communication with emergency services. The system integrates various sensors, including MEMS, force, and vibration sensors, with an Arduino microcontroller to detect accidents. The GPS module tracks the exact location (longitude and latitude), while the GSM module sends SMS alerts to emergency contacts and hospitals. The data is uploaded to ThingSpeak web server, which is then accessed by an Android application to fetch real-time data. This enables automatic notifications and emergency calls, ensuring timely intervention. The system is designed with IoT connectivity, using a NodeMCU Wi-Fi module for efficient data transmission, providing an integrated, reliable, and cost-effective solution for accident detection and immediate response in emergencies.

Paper Citation

in Harvard Style

Morasa B., M. P., Hemalatha K., K. M., M. S. and A. Y. (2025). AcciAid: IoT‑Driven Real‑Time Accident Detection and Emergency Alert System. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 570-578. DOI: 10.5220/0013886600004919

in Bibtex Style

@conference{icrdicct`2525,
author={Balaji Morasa and Pavan M. and K. Hemalatha and Murali K. and Santhosh M. and Yasmin A.},
title={AcciAid: IoT‑Driven Real‑Time Accident Detection and Emergency Alert System},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={570-578},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013886600004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - AcciAid: IoT‑Driven Real‑Time Accident Detection and Emergency Alert System
SN - 978-989-758-777-1
AU - Morasa B.
AU - M. P.
AU - Hemalatha K.
AU - K. M.
AU - M. S.
AU - A. Y.
PY - 2025
SP - 570
EP - 578
DO - 10.5220/0013886600004919
PB - SciTePress