Driver Drowsiness Detection Process System by Using OpenCV and Python

Authors

  • M. Priyadharshini Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India
  • M. Rajkumar Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India
  • G. Renugadevi Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India
  • K. Sangeetha Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India

Keywords:

Drivers level of fatigue, Detect drowsiness

Abstract

Now-a-days, more and more professions require long-term concentration. Drivers must keep a close eye on the road, so they can react to sudden events immediately. Driver fatigue often becomes a direct cause of many traffic accidents. Therefore, there is a need to develop the systems that will detect and notify a driver of her/him bad psychophysical condition, which could significantly reduce the number of fatigue-related car accidents. However, the development of such systems encounters many difficulties related to fast and proper recognition of a driver’s fatigue symptoms. One of the technical possibilities to implement driver drowsiness detection systems is to use the vision-based approach. This article presents the currently used driver drowsiness detection systems. Here we are detecting the driver drowsiness by estimating vision system of him.

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Published

29-03-2021

How to Cite

[1]
M. Priyadharshini, M. Rajkumar, G. Renugadevi, and K. Sangeetha, “Driver Drowsiness Detection Process System by Using OpenCV and Python”, IJRAMT, vol. 2, no. 3, pp. 28–29, Mar. 2021.

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Section

Articles