Help me with inserting an audio file in this python code for face & eye detection?

asked 2017-12-11 11:49:54 -0500

updated 2017-12-11 11:53:16 -0500

berak gravatar image

So basically I wanted to make a driver drowsiness alarm system, where an alarm will sound once the system detects that the driver has its eyes closed for more than 3 second. (I'm thinking of using 5 fps to save memory because I will code this to the raspberry pi 3 later on.)

I'm not really good with programming and I was wondering if, anyone can help me insert an if condition so that the system will alarm only when it detects that the eyes are closed for more than 3 seconds.

HERE IS THE CODE

import numpy as np
import cv2
import winsound


face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

cap = cv2.VideoCapture(0)

while 1:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)

for (x,y,w,h) in faces:
    cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
    roi_gray = gray[y:y+h, x:x+w]
    roi_color = img[y:y+h, x:x+w]

    eyes = eye_cascade.detectMultiScale(roi_gray)
    for (ex,ey,ew,eh) in eyes:
        cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)


cv2.imshow('img',img)
k = cv2.waitKey(30) & 0xff
if k == 27:
    break

cap.release() cv2.destroyAllWindows()

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Comments

i don't think, you'll get far with your current approach. wether you detect an eye using a cascadeclassifier, or not, does not give you any information AT ALL, if it was closed or not. you need something far more advanced, than just copy/pasting the face detection tutorial code, like training a classifier on a database , or acquiring proper facial landmarks, and using the eyelid distance (EAR, look it up)

berak gravatar imageberak ( 2017-12-12 04:12:57 -0500 )edit