Smart Helmet 3.0 – A Multi-Functional Safety System for Motorcyclists

Authors

  • Pallavi S Department of Computer Science and Engineering, AMC Engineering College, Bangalore, 560083, India. Author
  • Pranathi R M Department of Computer Science and Engineering, AMC Engineering College, Bangalore, 560083, India. Author
  • Nisarga D S Department of Computer Science and Engineering, AMC Engineering College, Bangalore, 560083, India. Author
  • Velvizhi Ramya R Assistant Professor, Department of Computer Science and Engineering, AMC Engineering College, Bangalore, 560083, India. Author
  • Mala M Naik Assistant Professor, Department of Computer Science and Engineering, AMC Engineering College, Bangalore, 560083, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0528

Keywords:

IoT, smart helmet, accident detection, alcohol sensor, drowsiness detection, safety system

Abstract

The IoT-Based Smart Helmet 3.0 is an innovative safety solution aimed at minimizing motorcycle accidents and saving lives. It combines multiple safety features such as accident detection, alcohol sensing, helmet usage verification, speed and distance monitoring, and drowsiness detection into one smart system. The helmet is equipped with accelerometers and gyroscopes to identify crashes, instantly sending the rider’s location to emergency contacts via GPS and GSM modules. It also ensures the bike cannot be started unless the helmet is properly worn and the rider is sober—encouraging responsible behavior. Speed and proximity sensors help the rider stay aware of their surroundings, while a drowsiness detection system, using infrared or eye-blink sensors, keeps track of the rider’s alertness and issues timely warnings when fatigue sets in. Powered by Arduino and IoT technology, Smart Helmet 3.0 enables real- time monitoring and communication, significantly enhancing road safety and emergency responsiveness.

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Published

2025-09-23

How to Cite

Smart Helmet 3.0 – A Multi-Functional Safety System for Motorcyclists. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(09), 3619-3623. https://doi.org/10.47392/IRJAEH.2025.0528

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