Smart Helmet for Alcohol and Drowsiness Detection

Authors

  • Mrs. Surya U Assistant Professor, Department of CSE, St. Joseph’s Institute of Technology, Chennai, Tamil Nadu, India. Author
  • Eugine Carmel P UG Scholar, Department of CSE, St. Joseph’s Institute of Technology, Chennai, Tamil Nadu, India. Author
  • Adams Issac Raj T UG Scholar, Department of CSE, St. Joseph’s Institute of Technology, Chennai, Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0242

Keywords:

Bluetooth Communication, GPS Tracking, Infrared Sensor, Raspberry Pi 5, Real-Time Monitoring

Abstract

Motorbike riders' safety on the road is a serious concern. This intelligent helmet system enhances riders' safety with real-time drowsiness detection and alert. It features an IR sensor for drowsiness detection and a vibration motor for alerting the rider. An alcohol sensor verifies sobriety before riding, and a camera module with a Raspberry Pi 5 verifies helmet wearing. The Arduino Uno captures helmet status, alcohol content, and GPS information and transmits it to the Raspberry Pi through Bluetooth. The Raspberry Pi analyzes this information and sends alerts through the internet when required. The system also keeps the motorcycle from running unless the rider is wearing a helmet, imposing safety protocols. Through the incorporation of these safeguards, this system seeks to minimize accidents and deaths, encouraging safer riding practices. Such technology can significantly enhance road safety and minimize motorcycle-related accidents globally.

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Published

2025-04-23

How to Cite

Smart Helmet for Alcohol and Drowsiness Detection. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(04), 1691-1696. https://doi.org/10.47392/IRJAEH.2025.0242

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