app.py

from turtle import bgcolor
import cv2
import imutils
from imutils import face_utils
import dlib
from scipy.spatial import distance
from pygame import mixer
import winsound
from gtts import gTTS
import pyttsx3
from tkinter import*
from tkinter import messagebox
from PIL import Image,ImageTk
language = "en"


mixer.init()

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
def start_detection():
    thresh = 0.25
    flag = 0
    frame_check = 50
    (lStart, lEnd) = face_utils.FACIAL_LANDMARKS_68_IDXS['left_eye']
    (rStart, rEnd) = face_utils.FACIAL_LANDMARKS_68_IDXS['right_eye']

    detect = dlib.get_frontal_face_detector()
    predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
    cap = cv2.VideoCapture(0)

    while True:
        ret, frame = cap.read()
        frame = imutils.resize(frame, width=450)
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        subjects = detect(gray, 0)
        for subject in subjects:
            shape = predictor(gray, subject)  # Corrected usage here
            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

            leftEyeHull = cv2.convexHull(leftEye)
            rightEyeHull = cv2.convexHull(rightEye)
            cv2.drawContours(frame, [leftEyeHull], -1, (0, 255, 0), 1)
            cv2.drawContours(frame, [rightEyeHull], -1, (0, 255, 0), 1)
            if ear < thresh:
                flag += 1
                #print(flag)
                if flag >= frame_check:
                    cv2.putText(frame, "*ALERT*", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 225), 2)
                    cv2.putText(frame, "*WARNING*", (10, 325), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 225), 2)
                    mixer.init()
                    mixer.music.load("music.wav")
                    mixer.music.play()

                    engine = pyttsx3.init()
                    engine.say(" Attention ") 
                    engine.runAndWait()
                    engine.stop
            else:
                flag = 0

        cv2.imshow("Frame", frame) 
        if cv2.waitKey(1) & 0xFF == ord("q"):
            break

    cv2.destroyAllWindows()
    cap.release()
def ex_det():
    exit(0)
    

# Create a new thread for running the drowsiness detection
# import threading
# detection_thread = threading.Thread(target=detect_drowsiness)
# detection_thread.start()

# Create the main Tkinter window
root = Tk()
root.title("Drowsiness Detection System")
# root['background']='gray17'
img = ImageTk.PhotoImage(Image.open("ams DMS 950.jpeg (1).jpg"))
lab = Label(image=img)
lab.place(x=0   , y=0)
root.geometry("1525x800+0+0")
root.wm_iconbitmap("think.ico")

l1=Label(root,text="Welcome to the Drowsiness Detection System",font=('arial',21,'bold'),bg='gray17',fg='snow')
l1.place(x=10,y=10)
l2=Label(root,text="Developed by ThinkTECH",font=('arial',15,'bold'),bg='gray17',fg='skyblue')
l2.place(x=1265,y=720)
def message():
    messagebox.showinfo('Attention !','Press:_Start Drowsiness Detection_botton to start \n\n\nPress:_q_button in your keyboard to exit')
  
  
st = "Driver Drowsiness Detection is a Python project that uses computer vision to detect driver drowsiness in real-time using a webcam. \nIt sounds an alert when drowsiness is detected to help prevent accidents due to driver fatigue.\n The program works by analyzing the driver's eye landmarks and calculating the Eye Aspect Ratio (EAR). When the EAR falls below a predefined threshold for a certain number of frames, an alert is triggered to wake up the driver. \nThe program uses Dlib's facial landmark detection model to locate and track the eyes."  
    
def message_about():
    messagebox.showinfo('About Our Application',st)

start1_button = Button(root, text="CLICK HERE\n for steps",font=('arial',20,'bold'),bg='yellow3',fg='black', command = message)
start1_button.place(x=10,y=60)

# About section
about_button = Button(root, text="About",font=('arial',20,'bold'),bg='CadetBlue2',fg='black', command = message_about)
about_button.place(x=1250,y=60)

# Create a button to start the drowsiness detection
start_button = Button(root, text="START\nDrowsiness Detection",font=('arial',20,'bold'),bg='lime green',fg='black', command = start_detection)
start_button.place(x=600,y=500)

# Create a button to quit the application
quit_button = Button(root,text="Quit",font=('arial',20,'bold'),bg='brown2',fg='black', command=root.destroy)
quit_button.place(x=1400,y=60)

root.mainloop()