Alcohol-Triggered Accident Detection and Alert System with GSM, GPS, ESP32 Integration

Sri Chakradhar Nossam, Gopa Pulastya, Rishi Anirudh Katakam, Manju Khanna

2024

Abstract

The new invention of Alcohol-Triggered Accident Detection and Alert System with GSM, GPS, ESP32 and utilizing ThingSpeak is a major step forward in road safety. This system uses an Arduino UNO board for data collection and management, an MQ-3 Alcohol Detection Sensor for measuring the alcohol concentration in the driver’s breath, a collision sensor for detecting an accident, a GPS module to track the vehicle’s location in real-time, and a GSM module for immediate remote communication. In case the alcohol level rises beyond the permissible limit or an accident happens, the system immediately initiates SMS notifications with the location of the car to the emergency services and the specified authorities. Further, the ESP32 module sends the data to ThingSpeak in real-time to monitor and analyze the driving behavior data. This interaction factor does not only contribute to the real-time response but also contributes to the systematic data compilation for better future road safety planning. Initial findings demonstrate the system’s high reliability and responsiveness, promoting safe driving practices and supporting the goal of reducing road fatalities.

Paper Citation

in Harvard Style

Nossam S., Pulastya G., Katakam R. and Khanna M. (2024). Alcohol-Triggered Accident Detection and Alert System with GSM, GPS, ESP32 Integration. In Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES; ISBN 978-989-758-756-6, SciTePress, pages 82-89. DOI: 10.5220/0013577200004639

in Bibtex Style

@conference{ispes24,
author={Sri Chakradhar Nossam and Gopa Pulastya and Rishi Anirudh Katakam and Manju Khanna},
title={Alcohol-Triggered Accident Detection and Alert System with GSM, GPS, ESP32 Integration},
booktitle={Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES},
year={2024},
pages={82-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013577200004639},
isbn={978-989-758-756-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES
TI - Alcohol-Triggered Accident Detection and Alert System with GSM, GPS, ESP32 Integration
SN - 978-989-758-756-6
AU - Nossam S.
AU - Pulastya G.
AU - Katakam R.
AU - Khanna M.
PY - 2024
SP - 82
EP - 89
DO - 10.5220/0013577200004639
PB - SciTePress