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drowsiness detection.py
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import cv2
import imutils
from imutils import face_utils
import dlib
from scipy.spatial import distance
from datetime import datetime
def eye_aspect_ratio(eye):
A = distance.euclidean(eye[1], eye[5])
B = distance.euclidean(eye[2], eye[4])
C = distance.euclidean(eye[0], eye[3])
ear = (A + B) / (2.0 * C)
return ear
thresh = 0.25
frame_check = 20
lStart, lEnd = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
rStart, rEnd = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
p = "shape_predictor_68_face_landmarks.dat"
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(p)
cap = cv2.VideoCapture(0)
sleep_start_time = None
awake_start_time = datetime.now()
sleep_detected = False
while True:
ret, frame = cap.read()
frame = imutils.resize(frame, width=450)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
subjects = detector(gray, 0)
for subject in subjects:
shape = predictor(gray, subject)
shape = face_utils.shape_to_np(shape)
leftEye = shape[lStart:lEnd]
rightEye = shape[rStart:rEnd]
leftEar = eye_aspect_ratio(leftEye)
rightEar = eye_aspect_ratio(rightEye)
ear = (leftEar + rightEar) / 2.0
if ear < thresh:
sleep_start_time = sleep_start_time or datetime.now()
awake_start_time = None
else:
if sleep_start_time:
sleep_detected = True
sleep_start_time = None
awake_start_time = awake_start_time or datetime.now()
if awake_start_time:
awake_duration = datetime.now() - awake_start_time
if awake_duration.total_seconds() >= 1: # Reduced duration to switch to AWAKE state
awake_start_time = None
sleep_detected = False # Reset sleep detection when eyes are open
if sleep_detected:
cv2.putText(frame, "SLEEP", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
else:
cv2.putText(frame, "AWAKE", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
cv2.imshow("frame", frame)
if cv2.waitKey(1) & 0xFF == ord("q"):
break
cv2.destroyAllWindows()
cap.release()