/OpenCV_Drowsiness

Primary LanguageJupyter NotebookMIT LicenseMIT

Drowsiness Detection OpenCV

This code can detect your eyes and alert when the user is drowsy.

Applications

This can be used by riders who tend to drive for a longer period of time that may lead to accidents

Code Requirements

The example code is in Python (version 2.7 or higher will work).

Dependencies

  1. import cv2
  2. import imutils
  3. import dlib
  4. import scipy

Description

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

Algorithm

Each eye is represented by 6 (x, y)-coordinates, starting at the left-corner of the eye (as if you were looking at the person), and then working clockwise around the eye:.

Condition

It checks 20 consecutive frames and if the Eye Aspect ratio is lesst than 0.25, Alert is generated.

Relationship

Summing up

For more information, see

Working Example

Execution

To run the code, type python Drowsiness_Detection.py

python Drowsiness_Detection.py