Live Webcam Face Recognition Using Python

First of all the things you need to have to Run this Program :

1. Anaconda Navigator or any python Interpreter, Download Anaconda Navigator From Here:Anaconda Navigator

2. You need to install numpy and OpenCV for your Anaconda Navigator, So simple Type Anaconda Prompt and Paste the following lines

For numpy:   conda install -c anaconda numpy

For OpenCV: conda install -c anaconda opencv

3. You need a Special File to Scan the face which is Haarcascade file the link is below you can find it: cascade file 

Now, From Here The Code Begins:

# OpenCV program to detect face in real time
# import libraries of python OpenCV
import cv2
 
# load the required trained XML classifiers
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
 
# capture frames from a camera
cap = cv2.VideoCapture(0)
 
# loop runs if capturing has been initialized.
while 1:
 
    # reads frames from a camera
    ret, img = cap.read()
 
    # convert to gray scale of each frames
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 
    # Detects faces of different sizes in the input image
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
 
    for (x,y,w,h) in faces:
        # To draw a rectangle in a face
        cv2.rectangle(img,(x,y),(x+w,y+h),(255,255,0),2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = img[y:y+h, x:x+w]
 
 # Display an image in a window
    cv2.imshow('Surprise',img)
 
    # Wait for Esc key to stop
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break
 
 # Close the window
cap.release()
 
# De-allocate any associated memory usage
cv2.destroyAllWindows()

 

Output: