Driver Drowsiness Detection Using Image Processing

Authors

  • M. Naveen Kumar
  • G. Rakesh Kumar
  • C. Ranganna
  • S. Prabhakar
  • M. Raghu Vardhan Reddy

Keywords:

Facial Changes, Hough Transform, Image Acquisition, Viola-Jones Algorithm, Vision Cascade Object Detector

Abstract

Without enough sleep, a person, especially a driver, is more likely to nod off and cause a collision. To prevent accidents on the road, the current study seeks to develop a system that can identify drowsy drivers. For that system, it will be necessary to process images from a camera that will be trained on the driver. It will analyze the facial changes that take place in this process, run them through a computer to identify drowsiness, and then alarm the driver if it is detected.

 

Published

2022-07-04

How to Cite

M. Naveen Kumar, G. Rakesh Kumar, C. Ranganna, S. Prabhakar, & M. Raghu Vardhan Reddy. (2022). Driver Drowsiness Detection Using Image Processing. Journal of Electronic Design Engineering, 8(2), 1–5. Retrieved from http://matjournals.co.in/index.php/JOEDE/article/view/771

Issue

Section

Review Paper