Alcohol Detection Based Vehicle Speed Limits and Notification System

Authors

  • Gopika Sri M UG, Computer Science and Business Systems, R. M. K. Engineering College, Thiruvallur, Tamil Nadu, India. Author
  • Jayakarthika K UG, Computer Science and Business Systems, R. M. K. Engineering College, Thiruvallur, Tamil Nadu, India. Author
  • Karthiga G UG, Computer Science and Business Systems, R. M. K. Engineering College, Thiruvallur, Tamil Nadu, India. Author
  • Dr. P. Umaeswari Associate Professor, Computer Science and Business Systems, R. M. K. Engineering College, Thiruvallur, Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2025.0218

Keywords:

Road safety system, Driver drowsiness detection, Vehicle speed control, Alcohol detection, Internet of Things (IoT)

Abstract

The Internet of Things (IoT) plays a vital role in enhancing safety systems, particularly in the automotive sector. One of the major concerns in road safety is the risk posed by drunk driving and driver fatigue, which can lead to fatal accidents. Existing systems primarily focus on either alcohol detection or drowsiness detection but lack comprehensive solutions that address both issues simultaneously. Our proposed system, "Alcohol Detection-Based Vehicle Speed and Notification System," aims to mitigate road accidents caused by intoxicated or drowsy drivers. By integrating a gas sensor, the system detects alcohol consumption and automatically reduces the vehicle’s speed while simultaneously sending an alert notification to the driver’s family. Additionally, the system incorporates a blinking sensor that detects when a driver’s eyes are closed for more than four seconds, triggering a buzzer alarm, which operates independently of alcohol consumption. This dual-function system enhances overall safety by addressing two major risk factors, making roads safer for all.

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Published

2025-04-23