Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM9243
Volume:
5 |
6 |
Jun 2021
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The Drowsiness Detection System (DDS) is an innovative solution designed to detect and prevent accidents caused by drowsy driving. By combining computer vision and machine learning techniques, the DDS continuously monitors the driverâs eyes in real-time. The system captures video frames, detects faces, and analyzes the eye regions to determine if the eyes are open or closed. Using a scoring mechanism, the DDS assesses the driverâs level of drowsiness, and when it exceeds a threshold, an alarm is triggered to alert the driver. With its ability to detect early signs of drowsiness, the DDS enhances road safety by providing timely warnings to drivers, mitigating the risks associated with drowsy driving.
KEYWORDS
Publication Date
6/6/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...