Drowsiness or eye detection in opencv python raspberry pi

Photo of author

By Jackson Taylor


CODE DOWNLOAD
import numpy as np
import cv2
# multiple cascades: https://github.com/Itseez/opencv/tree/master/data/haarcascades
#https://github.com/Itseez/opencv/blob/master/data/haarcascades/haarcascade_frontalface_default.xml
face_cascade = cv2.CascadeClassifier(‘haarcascade_frontalface_default.xml’)
#https://github.com/Itseez/opencv/blob/master/data/haarcascades/haarcascade_eye.xml
eye_cascade = cv2.CascadeClassifier(‘haarcascade_eye.xml’)
cap = cv2.VideoCapture(0)
eye_threshol=10
while 1:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    #print ‘faces= ‘,len(faces)
    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)
        if len(eyes) >0:
            print ‘eyes ‘
        else:
            print ‘no’
        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()

See also
PLOTTING DATA ON INTERNET USING PYTHON AND THINGSSPEAK.COM