DRIVE-DEFENDER: A Driver Safety-oriented Alcohol and Drowsiness Detection System

Year : 2024 | Volume :11 | Issue : 01 | Page : 15-26
By

Nitin Puli

Shivam Kumar

Md Moniruzzaman Piyash

Karandeep Kaur

  1. Student School of Computer Science and Engineering, Lovely Professional University Punjab India
  2. Student School of Computer Science and Engineering, Lovely Professional University Punjab India
  3. Student School of Computer Science and Engineering, Lovely Professional University Punjab India
  4. Assistant Professor School of Computer Science and Engineering, Lovely Professional University Punjab India

Abstract

DRIVE-DEFENDER presents a pioneering approach in driver safety through the development of a real-time machine learning system for alcohol detection. The detrimental impact of alcohol-impaired driving on road safety necessitates efficient detection mechanisms. Current methodologies are often hindered by their cost, invasiveness, and reliance on specialized sensors. DRIVE-DEFENDER utilizes a camera for recording the face of the driver in real time, employing image processing techniques to identify facial landmarks. These landmarks serve as inputs for the calculation of features indicative of alcohol impairment, such as changes in facial expression and coordination. Machine learning algorithms, coupled with adaptive thresholding mechanisms, enable accurate detection of alcohol intoxication without the need for expensive hardware or causing distractions to the driver. The proposed approach offers a cost-effective, non-intrusive solution for enhancing driving safety in real-time by promptly identifying and mitigating the risks associated with alcohol-impaired driving.

Keywords: Fatigue, safety of drivers, aspect ratios for the eyes and mouth, head pose estimation, computer vision, image processing, detection of alcohol consumption, drowsiness detection

[This article belongs to Journal of Open Source Developments(joosd)]

How to cite this article: Nitin Puli, Shivam Kumar, Md Moniruzzaman Piyash, Karandeep Kaur. DRIVE-DEFENDER: A Driver Safety-oriented Alcohol and Drowsiness Detection System. Journal of Open Source Developments. 2024; 11(01):15-26.
How to cite this URL: Nitin Puli, Shivam Kumar, Md Moniruzzaman Piyash, Karandeep Kaur. DRIVE-DEFENDER: A Driver Safety-oriented Alcohol and Drowsiness Detection System. Journal of Open Source Developments. 2024; 11(01):15-26. Available from: https://journals.stmjournals.com/joosd/article=2024/view=141132





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Regular Issue Subscription Review Article
Volume 11
Issue 01
Received April 5, 2024
Accepted April 8, 2024
Published April 10, 2024