IoT-Based Drowsiness Detection System

Author(s)	Krishna Yadav, Arjun Gujararthi, Gaurav Dhawale, Prasad Bhor, Dhanuja Patil
Country	India
Abstract	Driver drowsiness is one of the most important reasons for road accidents around the world, especially while traveling long distances and at night. Continuous monitoring of the driver’s alertness is required for preventing accidents. Conventional techniques for fatigue detection using physiological sensors are invasive, costly, and not suitable for real-time implementation in vehicles. This paper proposes a non-invasive IoT-based driver drowsiness detection system using computer vision and facial landmark analysis. The proposed system uses the MediaPipe FaceMesh model for identifying the important facial landmarks around the eye and mouth regions. Eye Aspect Ratio (EAR) and Mouth Aspect Ratio (MAR) are calculated continuously to identify the sustained closure of eyes and yawning behavior.
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-06-04

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

International Journal For Multidisciplinary Research