Build Your Own Live Face Detection App in 8 Minutes | OpenCV
In this tutorial I have touched you, how to create Live Face Detection App in only 8 Minutes. Its computer vision Artificial Intelligence project and I used OpenCV Python Library and Cascade Classifier.

Live Face Detection App Project Code
#import opencv import cv2 # Load the Cascade Classifier face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml") #startt web cam cap = cv2.VideoCapture('videos/school_girl.mp4') while True: #read image from webcam respose, color_img = cap.read() # Convert to grayscale gray_img = cv2.cvtColor(color_img, cv2.COLOR_BGR2GRAY) # Detect the faces faces = face_cascade.detectMultiScale(gray_img, 1.4, 7) #display rectrangle for (x, y, w, h) in faces: cv2.rectangle(color_img, (x, y), (x+w, y+h), (0, 0, 255), 3) # display image cv2.imshow('img', color_img) if cv2.waitKey(1) & 0xFF == ord('q'): break # Release the VideoCapture object cap.release() cv2.destroyAllWindows()