International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 2
March-April 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Drowseguard Ai: Driver Drowsiness Detection System

Author(s) Dr. Udayasri Kompalli, Mr. SAURAV KRISHNA, Mr. NIPUN REDDY PAMULAPATI, Mr. SAI CHARAN SADHUPATI
Country India
Abstract All around the world there are a wide range of people who are affected by road accidents caused by driver drowsiness and fatigue. Drivers who are suffering from drowsiness are highly impacted in their ability to react, make decisions, and maintain focus on the road. Sometimes drivers do not know that they are becoming drowsy, and in that case an automated system should detect and alert them before an accident occurs. Our idea is whether a system can detect driver drowsiness in real time using only a standard webcam, without any specialized hardware. Well, it is possible by the combination of AI technology and computer vision. In our study, we used MediaPipe face landmark detection and built a system that can monitor the driver and alert them when drowsiness is detected. The system analyzes 478 three-dimensional facial landmarks from a live webcam feed and computes the Eye Aspect Ratio (EAR), Mouth Aspect Ratio (MAR), and head pose angle from each frame. After deriving these features, we calculate a composite drowsiness score using weighted contributions of EAR (60%), yawn detection (25%), and head pose (15%). Additionally, we tested our system with real-world conditions including varied lighting, users with glasses, and different head positions to verify its robustness. Finally, we developed a full-stack web application consisting of a Python-Flask AI backend, a Node.js authentication server with MongoDB, and a React dashboard frontend. Our main aim is to reduce drowsiness- related road accidents and to make drivers aware of their fatigue levels in real time. If a driver is not showing signs of drowsiness, the system continues passive monitoring without interruption, allowing the driver to focus entirely on the road.
Keywords Keywords— Driver Drowsiness Detection, Road Safety, Fatigue Monitoring, Computer Vision, Real-Time Detection, Facial Landmark Detection, Eye Aspect Ratio (EAR), Mouth Aspect Ratio (MAR), Head Pose Estimation, Artificial Intelligence, Deep Learning, Human Alert Systems, Accident Prevention, Webcam-Based Monitoring, MediaPipe, Full-Stack Web Application
Field Engineering
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-16
DOI https://doi.org/10.36948/ijfmr.2026.v08i02.74925
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 1Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals