Open AccessDriver Drowsiness Detection Using Machine Learning
Author(s) -
Prof. Swati Gade,
Kshitija Kamble,
Aishwarya Sheth,
Sakshi Patil,
Siddhi Potdar
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40895
Subject(s) - computer science , field (mathematics) , artificial intelligence , real time computing , human–computer interaction , machine learning , mathematics , pure mathematics
This document is a review report on the research conducted and the project made in the field of computer engineering to develop a system for driver drowsiness detection to prevent accidents from happening because of driver fatigue and sleeping. The report proposed the results and solutions on the limited implementation of the various techniques that are introduced in the project. Whereas the implementation of the project gives the real world idea of how the system works and what changes can be done in order to improve the utility of the overall system. Furthermore, the paper states the overall of the observation made by the authors in order to help further optimization in the mentioned field to achieve the utility at a better efficiency for a saferroad. Keywords: Driver drowsiness, eye detection, yawn detection, blink pattern