Driver-Fatigue-Detection-with-OpenCV-and-Deep-Learning

A state of the art face detection system, that identifies and extracts the facial features from live webcam feed, to detect whether the driver is getting tired or not.

Research paper for the app : Click here

These are the following modules used in this project:

from imutils.video import VideoStream
import numpy as np
import argparse
import imutils
import time
import cv2
from scipy.spatial import distance as dist
from imutils import face_utils
import dlib
import playsound
import os
from threading import Thread

Requirements.txt

CMake
opencv-python
imutils
dlib
scipy
playsound
numpy==1.21.5

Getting Started

1. Install Python Click here

2. Install Git Click here

3. Install Anaconda Click here

4. Clone this repository

git clone https://github.com/rkf2778/Driver-Fatigue-Detection-with-OpenCV-and-Deep-Learning/tree/master
cd Driver-Fatigue-Detection-with-OpenCV-and-Deep-Learning

5. Create an environment

conda create --name facedetect
conda activate facedetect

6. Install the modules

pip install -r requirements.txt

If it causes error, then do the following :

• If facing issues with dlib, do either of the following

  • Install CMake : pip install CMake
  • Visit here and install Dlib
  • Or else, try conda install conda-forge::dlib

• Then install the following manually

pip install opencv-python numpy scipy playsound

NOTE : If you have more than one webcam, then you might need to change values for the following code inside detect_faces_video.py file to 0 or 1

vs = cv2.VideoCapture(0) // For Inbuilt Camera

vs = cv2.VideoCapture(1) // For External Camera

Also, you can control the threshold values in detect_faces_video.py file to control the threshold before alarm is activated

EYE_AR_THRESH = 0.26
EYE_AR_CONSEC_FRAMES = 10
MOUTH_AR_THRESH = 0.4

SHOW_POINTS_FACE = True
SHOW_CONVEX_HULL_FACE = True
SHOW_INFO = True

6 To run the app, enter the following code

python detect_faces_video.py --prototxt deploy.prototxt.txt --model res10_300x300_ssd_iter_140000.caffemodel --alarm alarm.wav

Reference

Check out this website