├── README.md
└── code.py


/README.md:
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 1 | # Drowsiness-Detector-
 2 |  Drowsiness Detector using Python. College Project with all Documents
 3 | 
 4 | 
 5 | ## Dataset :  http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2
 6 | 
 7 | 
 8 | Project code is in Python Programming 
 9 | 
10 | you can run anywhere you want as Jupyter, Gogole collab, Visual studio code and Python IDE.
11 | 
12 | # Project Includes: 
13 | 1. PPT
14 | 2. Report
15 | 3. Synopsis
16 | 4. Datasets
17 | 5. Research Papers
18 | 6. Code
19 | 7. Documents
20 | 
21 | 
22 | # Contact :
23 | 
24 | Mail: vatshayan007@gmail.com
25 | 
26 | Website: https://www.cse-projects.com
27 | 
28 | CSE PRojects: https://computerscienceproject.com
29 | 
30 | ## Helping students on Computer Science Projects 24*7 
31 | 
32 | Please Star & fork If you like this Project
33 | 


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/code.py:
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 1 | import cv2
 2 | import dlib
 3 | from scipy.spatial import distance
 4 | 
 5 | def calculate_EAR(eye):
 6 | 	A = distance.euclidean(eye[1], eye[5])
 7 | 	B = distance.euclidean(eye[2], eye[4])
 8 | 	C = distance.euclidean(eye[0], eye[3])
 9 | 	ear_aspect_ratio = (A+B)/(2.0*C)
10 | 	return ear_aspect_ratio
11 | 
12 | cap = cv2.VideoCapture(0)
13 | hog_face_detector = dlib.get_frontal_face_detector()
14 | dlib_facelandmark = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
15 | 
16 | while True:
17 |     _, frame = cap.read()
18 |     gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
19 | 
20 |     faces = hog_face_detector(gray)
21 |     for face in faces:
22 | 
23 |         face_landmarks = dlib_facelandmark(gray, face)
24 |         leftEye = []
25 |         rightEye = []
26 | 
27 |         for n in range(36,42):
28 |         	x = face_landmarks.part(n).x
29 |         	y = face_landmarks.part(n).y
30 |         	leftEye.append((x,y))
31 |         	next_point = n+1
32 |         	if n == 41:
33 |         		next_point = 36
34 |         	x2 = face_landmarks.part(next_point).x
35 |         	y2 = face_landmarks.part(next_point).y
36 |         	cv2.line(frame,(x,y),(x2,y2),(0,255,0),1)
37 | 
38 |         for n in range(42,48):
39 |         	x = face_landmarks.part(n).x
40 |         	y = face_landmarks.part(n).y
41 |         	rightEye.append((x,y))
42 |         	next_point = n+1
43 |         	if n == 47:
44 |         		next_point = 42
45 |         	x2 = face_landmarks.part(next_point).x
46 |         	y2 = face_landmarks.part(next_point).y
47 |         	cv2.line(frame,(x,y),(x2,y2),(0,255,0),1)
48 | 
49 |         left_ear = calculate_EAR(leftEye)
50 |         right_ear = calculate_EAR(rightEye)
51 | 
52 |         EAR = (left_ear+right_ear)/2
53 |         EAR = round(EAR,2)
54 |         if EAR<0.26:
55 |         	cv2.putText(frame,"DROWSY",(20,100),
56 |         		cv2.FONT_HERSHEY_SIMPLEX,3,(0,0,255),4)
57 |         	cv2.putText(frame,"Are you Sleepy?",(20,400),
58 |         		cv2.FONT_HERSHEY_SIMPLEX,2,(0,0,255),4)
59 |         	print("Drowsy")
60 |         print(EAR)
61 | 
62 |     cv2.imshow("Are you Sleepy", frame)
63 | 
64 |     key = cv2.waitKey(1)
65 |     if key == 27:
66 |         break
67 | cap.release()
68 | cv2.destroyAllWindows()


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