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Merge pull request #923 from sarthaxtic/main
Added Drowsiness Detection System
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#OpenCV for image processing functions | ||
import cv2 | ||
# Numpy for array related functions | ||
import numpy as np | ||
# Dlib for face landmark detection | ||
import dlib | ||
#face_utils for basic operations of conversion | ||
from imutils import face_utils | ||
#playsound for playing alarm sound | ||
from playsound import playsound | ||
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#Initializing the camera and taking the instance | ||
cap = cv2.VideoCapture(0) | ||
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#Initializing the face detector and landmark detector | ||
detector = dlib.get_frontal_face_detector() | ||
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat") | ||
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#status marking for current state | ||
Sleep = 0 | ||
Drowsy = 0 | ||
Active = 0 | ||
status="" | ||
color=(0,0,0) | ||
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def compute(ptA,ptB): | ||
dist = np.linalg.norm(ptA - ptB) | ||
return dist | ||
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def blink(a,b,c,d,e,f): | ||
up = compute(b,d) + compute(c,e) | ||
down = compute(a,f) | ||
ratio = up/(2.0*down) | ||
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#Checking for blink | ||
if(ratio>0.25): | ||
return 2 | ||
elif(ratio>0.21 and ratio<=0.25): | ||
return 1 | ||
else: | ||
return 0 | ||
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while True: | ||
feature, frame = cap.read() | ||
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) | ||
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faces = detector(gray) | ||
face_frame=frame.copy() | ||
#detect face in faces array | ||
for face in faces: | ||
x1 = face.left() | ||
y1 = face.top() | ||
x2 = face.right() | ||
y2 = face.bottom() | ||
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cv2.rectangle(face_frame, (x1, y1), (x2, y2), (0, 255, 0), 2) | ||
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landmarks = predictor(gray, face) | ||
landmarks = face_utils.shape_to_np(landmarks) | ||
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#The numbers are actually the landmarks which will show eye | ||
left_blink = blink(landmarks[36],landmarks[37], | ||
landmarks[38], landmarks[41], landmarks[40], landmarks[39]) | ||
right_blink = blink(landmarks[42],landmarks[43], | ||
landmarks[44], landmarks[47], landmarks[46], landmarks[45]) | ||
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#Now judge what to do for the eye blinks | ||
if(left_blink==0 or right_blink==0): | ||
Sleep+=1 | ||
Drowsy=0 | ||
Active=0 | ||
if(Sleep>6): | ||
playsound('alarm.mp3') | ||
status="SLEEPING ALERT!!!" | ||
color=(255,0,0) | ||
elif(left_blink==1 or right_blink==1): | ||
Drowsy+=1 | ||
Sleep=0 | ||
Active=0 | ||
if(Drowsy>6): | ||
status="DROWSY" | ||
color=(0,0,255) | ||
else: | ||
Drowsy=0 | ||
Sleep=0 | ||
Active+=1 | ||
if(Active>6): | ||
status="ACTIVE :)" | ||
color=(0,255,0) | ||
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cv2.putText(frame, status, (100,100), cv2.FONT_HERSHEY_SIMPLEX, 1.2, color,3) | ||
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for n in range(0,68): | ||
(x,y)=landmarks[n] | ||
cv2.circle(face_frame, (x, y), 1, (255, 255, 255), -1) | ||
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cv2.imshow("Frame",frame) | ||
cv2.imshow("Result of detector",face_frame) | ||
key=cv2.waitKey(1) | ||
if(key==27): | ||
break |
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Computer Vision/Drowsiness Detection System/shape_predictor_68_face_landmarks.dat
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