Drowsiness Detection using Python ad OpenCV:

Applications

This is useful for drivers so that they can be alerted during long rides in case they tend to dose off.

Code Requirements

The example code is in Python (version 3.8 or higher will work).

Drowsiness.Detection.Video.mp4

Dependencies

 1)import cv2
 2)import immutils
 3)import dlib
 4)import scipy
 5)import playsound
 6)import queue
 7)import time
 8)import sys

>> pip install opencv-python

>> pip install immutils

>> pip install scipy

>> pip install playsound

--> For dlib : Issues will occur , for this reason - download the whl file for your Python version . Then use command from PyCharm as

>> pip install "C:\Users\madhu\Desktop\ML - Jupyter Projects\dlib-19.24.1-cp311-cp311-win_amd64.whl" [Kindly replace with your file location}

>> pip install face_recognition

Description

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.

Algorithm

● 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.

Execution

To run the code, run

python blinkDetect.py

MadhumithaKolkar / ML_Drowsiness_Detection-OpenCV