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Driver Drowsiness and Alcohol Detection System using Arduino

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Research ID O8X7T

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− Abstract

Drowsiness in driving causes the major road accidents. Now a day’s drowsiness due to drunken driving is increasing. If driver is found to be drowsiness in eyes more than 5 secs, then the eye blink sensor senses the blink rate. If the eyes are found to be closed, then the speed of the car slows down. In our proposed system, along with drowsiness, alcohol detection is also detected by using alcohol MQ3 sensor. If alcohol is detected in driver’s breathe, then the car slows down. These sensors are interfaced with Arduino UNO.LED glows in case of alcohol detection and buzzer rings in case of drowsiness detection and speed of the car varies on detection of both cases.

− Conflict of Interest

The authors declare no conflict of interest.

− Ethical Approval

Not applicable

− Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

− Funding

This work did not receive any external funding.

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Archana Jenis M R (2023). Driver Drowsiness and Alcohol Detection System using Arduino. .

  • Classification

    LCC Code: TK7882.E2

  • Version of record

    v1.0

  • Issue date

    26 August 2023

  • Language

    English

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