Driver Drowsiness Alert System with OpenCV and Keras

Authors

  • Sunil Bhutada  Professor and Head of the department, IT Department Sreenidhi Institute of Science and Technology, Yamnampet, Hyderabad, India
  • Nithin Bommena  B.Tech Scholar. IT Department Sreenidhi Institute of Science and Technology, Yamnampet, Hyderabad, India
  • Shivacharan Janagama  B.Tech Scholar. IT Department Sreenidhi Institute of Science and Technology, Yamnampet, Hyderabad, India
  • Saicharan Chanda  B.Tech Scholar. IT Department Sreenidhi Institute of Science and Technology, Yamnampet, Hyderabad, India
  • Shanthi Pannala  Assistant Professor, IT Department Sreenidhi Institute of Science and Technology, Yamnampet, Hyderabad, India
  • Kranthi Kumar Kathula  Associate Professor, IT Department Sreenidhi Institute of Science and Technology, Yamnampet, Hyderabad, India

Keywords:

OpenCV, Keras, CNN

Abstract

The Driver Drowsiness Detection System which is made in the vision to prevent road setbacks because of the laziness or languor of the driver. around 20% of the road setbacks that are happened is a result of the sleepiness of the driver. This is positively not a little issue to be not regarded in a serious manner as it isn't only dangerous for the driver himself it is in like manner unsafe to his fellow voyagers and people who uses a comparative road. In this paper we develop a model using OpenCV ,Keras and CNN algorithm which predicts if the driver is drowsy or not by capturing the eyes. If the eyes are shut for certain period then driver is alerted by sounding an alarm.

References

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Published

2022-06-30

Issue

Section

Research Articles

How to Cite

[1]
Sunil Bhutada, Nithin Bommena, Shivacharan Janagama, Saicharan Chanda, Shanthi Pannala, Kranthi Kumar Kathula, " Driver Drowsiness Alert System with OpenCV and Keras, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 3, pp.406-411, May-June-2022.