1 publication

• Published Subscription Review Article 10 Apr 2024

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

  By Nitin Puli, Shivam Kumar, Md Moniruzzaman Piyash, Karandeep Kaur

  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 …

  Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 15–26 Read article →