main.py

import cv2
import dlib
import time
import numpy as np
from scipy.spatial import distance
import threading
import os  # used instead of winsound for Linux

# Compute Eye Aspect Ratio (EAR)
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

# Play alert sound on Linux
def sound_alarm():
    for _ in range(3):
        os.system('aplay "alert.wav"')  # or use full path if needed
        time.sleep(0.1)

# EAR threshold and consecutive frame threshold
EAR_THRESHOLD = 0.25
EAR_CONSEC_FRAMES = 20

COUNTER = 0
ALARM_ON = False

# Load dlib's face detector and facial landmarks predictor
print("[INFO] Loading dlib model...")
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

# Eye landmarks indices (from the 68-point model)
(lStart, lEnd) = (42, 48)  # left eye
(rStart, rEnd) = (36, 42)  # right eye

# Start webcam capture
cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    if not ret:
        break

    frame = cv2.resize(frame, (640, 480))
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    rects = detector(gray, 0)

    for rect in rects:
        shape = predictor(gray, rect)
        shape = np.array([[p.x, p.y] for p in shape.parts()])

        leftEye = shape[lStart:lEnd]
        rightEye = shape[rStart:rEnd]

        leftEAR = eye_aspect_ratio(leftEye)
        rightEAR = eye_aspect_ratio(rightEye)
        ear = (leftEAR + rightEAR) / 2.0

        # Draw eye contours
        cv2.drawContours(frame, [cv2.convexHull(leftEye)], -1, (0, 255, 0), 1)
        cv2.drawContours(frame, [cv2.convexHull(rightEye)], -1, (0, 255, 0), 1)

        # Check for drowsiness
        if ear < EAR_THRESHOLD:
            COUNTER += 1

            if COUNTER >= EAR_CONSEC_FRAMES:
                if not ALARM_ON:
                    ALARM_ON = True
                    threading.Thread(target=sound_alarm).start()

                cv2.putText(frame, "DROWSINESS ALERT!", (10, 30),
                            cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 255), 2)

        else:
            COUNTER = 0
            ALARM_ON = False

        # Display EAR on screen
        cv2.putText(frame, f"EAR: {ear:.2f}", (480, 30),
                    cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 0), 1)

    cv2.imshow("Drowsiness Detection", frame)
    if cv2.waitKey(1) == 27:  # ESC key to exit
        break

cap.release()
cv2.destroyAllWindows()