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International Journal of Zoology and Applied Biosciences Research Article
A smart sensor-enabled emergency notification system for drivers
Vigneshkumar Mani, Saravanan M, Kiran Kumar S, Karthick K, Pradeepa AK
Year : 2025 | Pages: 613-617
Received on: 29/09/2025
Revised on: 27/10/2025
Accepted on: 27/11/2025
Published on: 01/12/2025
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Vigneshkumar Mani, Saravanan M, Kiran Kumar S, Karthick K, Pradeepa AK( 2025).
A smart sensor-enabled emergency notification system for drivers
. International Journal of Zoology and Applied Biosciences, 10( 6), 613-617.
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Abstract
Road accidents and critical health-related events during driving remain major contributors to global mortality rates. The integration of intelligent sensing technologies in vehicles offers new possibilities for early detection and timely intervention in emergency situations. This study presents a Smart Sensor-Enabled Emergency Notification System designed to detect abnormal driving conditions, vehicle collisions, driver fatigue, and health emergencies through multi-sensor data acquisition. The proposed system incorporates accelerometers, gyroscope sensors, heartbeat and pulse sensors, temperature sensors, alcohol sensors, and GPS modules to monitor both vehicular and driver-related parameters in real time. Upon detection of any hazardous or abnormal condition, the system automatically sends an emergency alert to predefined contacts or nearby emergency service centers using GSM or IoT communication channels. Experimental evaluation demonstrates that the system provides accurate event detection with low latency and high reliability, significantly improving response time in critical driving scenarios. This research highlights the potential of sensor-based intelligent systems in enhancing road safety and reducing fatality rates by enabling prompt emergency notifications.
Keywords
Smart sensors, Emergency notification, Driver safety, Intelligent vehicle systems, Accident detection.
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© The Author(s) 2025. This article is published by International Journal of Zoology and Applied Biosciences under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
