Driver Drowsiness Detection System

Authors

  • Ranjitha M.M. Dayananda Sagar Academy of Technology and Management, Karnataka, India
  • Ushasree R. Dayananda Sagar Academy of Technology and Management, Karnataka, India
  • Chitra B. Faculty of Data Science and Information Technology, INTI International University, Malaysia

Keywords:

Drowsiness detection for drivers System, YOLO algorithm, HOG (Histogram of Oriented Gradients), Web cam, Beep alarm

Abstract

Among the leading causes of fatalities in traffic accidents is being sleepy while driving. Long-haul truck drivers, bus or overnight bus drivers, and drivers who operate their cars after midnight are more prone to encounter this issue. Accidents Senger’s worst Every year, car accidents involving drunk drivers result in several fatalities and serious injuries. Due to their enormous practical significance, identifying driver tiredness and its indication are therefore significant study areas. The acquisition system, processing system, and warning system are the three components or modules that make up the fundamental sleepiness detecting apparatus. The acquisition system takes a frontal facial video of the driver's and transmits it to the processing block for real-time analysis to identify weariness.

Published

2024-07-10

How to Cite

M.M., R., R., U., & B., C. (2024). Driver Drowsiness Detection System. INTI Journal, 2024. Retrieved from https://iuojs.intimal.edu.my/index.php/intijournal/article/view/476

Issue

Section

Articles