This can be used by riders who tends to drive the vehicle for a longer period of time that may lead to accidents
The example code is in Python (version 2.7 or higher will work).
1)import cv2
2)import immutils
3)import dlib
4)import scipy
5)import playsound
6)import queue
7)import time
8)import sys
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.
● We utilised a pre trained frontal face detector from Dlib’s library which is based on a modification to the Histogram of Oriented Gradients in combination with Linear SVM for classification.
● The pre-trained facial landmark detector inside the dlib library is used to estimate the location of 68 (x, y)-coordinates that map to facial structures on the face. The 68 landmark output is shown in the figure below. However, we utilised the 70 landmark model.
● We then calculate the aspect ratio to check whether eyes are opened or closed.
● The eye is open if Eye Aspect ratio is greater than threshold. (Around 0.3)
● A blink is supposed to last 200-300 milliseconds.
● A drowsy blink would last for 800-900 ms.
To run the code, run
python blinkDetect.py
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