Detecting Driver Drowsiness Using Deep Learning Techniques

Authors

  • S. Aakash  Department of IT, Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India
  • N. Viswateja  Department of IT, Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India
  • S. Saravana Kumar  Department of IT, Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India
  • Mr. S. Sasidharan  Assistant Professor, Department of IT, Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India

Keywords:

OpenCV, TensorFlow, Keras, pygame

Abstract

Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving. The objective of this project is to build a drowsiness detection system that will detect that a person’s eyes are closed for a few seconds. This system will alert the driver when drowsiness is detected. In this Python project, we will be using OpenCV for gathering the images from webcam and feed them into a Deep Learning model which will classify whether the person’s eyes are ‘Open’ or ‘Closed’. The approach we will be using for this Python.

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International Journal of Scientific Research in Science and Technology

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Published

2021-04-10

Issue

Volume 9, Issue 1, March-April-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
S. Aakash, N. Viswateja, S. Saravana Kumar, Mr. S. Sasidharan, " Detecting Driver Drowsiness Using Deep Learning Techniques, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.351-356, March-April-2021.