Archives
International Journal of Zoology and Applied Biosciences Research Article
Design and development of a sensor-enabled smart helmet for riders
Sridevi T, Renuka Devi R, Swathi T, Nafisa Farheen and Chandra Lekha SB
Year : 2025 | Pages: 663-667
Received on: 09/10/2025
Revised on: 28/10/2025
Accepted on: 28/11/2025
Published on: 01/12/2025
-
Sridevi T, Renuka Devi R, Swathi T, Nafisa Farheen and Chandra Lekha SB( 2025).
Design and development of a sensor-enabled smart helmet for riders
. International Journal of Zoology and Applied Biosciences, 10( 6), 663-667.
-
click to view the cite format
Abstract
Motorcycle accidents contribute significantly to road-related injuries and fatalities worldwide, often caused by overspeeding, lack of protective gear, drowsiness, and poor environmental awareness. Conventional helmets provide only passive protection, lacking the ability to detect hazardous conditions or assist riders in real time. This study proposes a sensor-enabled smart helmet designed to enhance rider safety through integrated accident detection, alcohol sensing, fall monitoring, and wireless alert systems. The developed helmet utilizes an accelerometer-gyroscope module, alcohol sensor, vibration/fall detector, RF/Bluetooth transmitter, and microcontroller-based signal processing to identify unsafe conditions and automatically notify emergency contacts. Experimental validation demonstrates highly reliable detection accuracy (97.4%), rapid alert generation (<2 seconds), and stable operation across varying riding speeds and environmental conditions. The proposed smart helmet system provides a low-cost, intelligent, and portable safety solution for real-time rider monitoring, accident prediction, and emergency response enhancement.
Keywords
Smart helmet, Rider safety, Accident detection, Motorcycle monitoring, Embedded sensors.
-
Full Article PDF (
12)
- View HTML Article
Copy Rights
© 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.
