Skip to content
#

drowsiness-detection

Here are 137 public repositories matching this topic...

A real-time drowsiness detection system for drivers, which alerts the driver if they fall asleep due to fatigue while still driving. The computer vision algorithm used for the implementation uses a trifold approach to detect drowsiness, including the measurement of forward head tilt angle, measurement of eye aspect ratio (to detect closure of ey…

  • Updated Jul 6, 2023
  • Python

A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.

  • Updated May 4, 2019
  • Python

DNDS is a vehicle safety recommendation system that monitors the driver’s facial behaviour to detect the driver’s drowsiness and yawning. The system also monitors the road in front to detect the road lanes, the lane curvature, the vehicle centre offset, and objects of multiple classes on the road, such as humans, animals, and other vehicles, etc.

  • Updated Apr 6, 2023
  • Python

Improve this page

Add a description, image, and links to the drowsiness-detection topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the drowsiness-detection topic, visit your repo's landing page and select "manage topics."

Learn more