Journal of Production Engineering

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Vol. 28 No. 1 (2025)
Original Research Article

Research and development of a smart helmet for enhanced safety and functionality of motorcycle riders

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  • Adekunle Ibrahim Musa,
  • Ayokunnumi Adeyemi,
  • Samuel Olajide
Adekunle Ibrahim Musa
Department of Mechanical Engineering, Olabisi Onabanjo University, Ago Iwoye, Ibogun Campus, Ogun State, Nigeria
Ayokunnumi Adeyemi
Department of Mechanical Engineering Olabisi Onabanjo University Ago Iwoye, Ibogun Campus Ogun State
Samuel Olajide
Department of Mechanical Engineering Olabisi Onabanjo University Ago Iwoye, Ibogun Campus Ogun State
DOI: https://doi.org/10.24867/JPE-2025-01-034

Published 2025-06-24

abstract views: 27 // FULL TEXT ARTICLE (PDF): 0


Keywords

  • Helmet,
  • Motorcycle Safety,
  • Motion Sensor,
  • Alcohol Detection,
  • NodeMCU Communication

How to Cite

Musa, Adekunle Ibrahim, Ayokunnumi Adeyemi, and Samuel Olajide. 2025. “Research and Development of a Smart Helmet for Enhanced Safety and Functionality of Motorcycle Riders”. Journal of Production Engineering 28 (1):34-39. https://doi.org/10.24867/JPE-2025-01-034.

Copyright (c) 2025 Journal of Production Engineering

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Motorcycles are a widely used mode of transportation in Nigeria, but they are also associated with high rates of road traffic accidents and fatalities. This study focuses on the research and development of an intelligent helmet to enhance the safety of motorcycle riders in the country. The helmet integrates advanced technologies such as impact sensors, alcohol detection, GPS tracking, and proximity sensors to monitor rider safety and environmental conditions. A prototype was developed using affordable components to ensure accessibility for low-income riders. Field trials demonstrated high accuracy in detecting collisions (95%), intoxication (98%), and obstacles within a 2-meter radius. Feedback from users indicated the helmet was comfortable, functional, and easy to use. The study concludes that intelligent helmets have the potential to significantly reduce motorcycle-related fatalities in Nigeria. However, challenges such as weather resistance and large-scale adoption need to be addressed. Future work should focus on improving the design, integrating renewable energy solutions, and collaborating with stakeholders for implementation.

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