Face detection in Python OpenCV using smartphone Camera

Prerequisites

• Text Editor ( Anyone IDE PyCharm, Visual studio code, etc.,)
• Installed Python >=3.6
• Install opencv-python package (reference)
• Webcam or Smart phone (phone should installed DroidCam Webcam - here Playstore link)

Code

#Sample created by chandran marimuthu on Mar-2022
import cv2
#trained datasets link: https://github.com/opencv/opencv/tree/master/data/haarcascades
trainedDataset=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

##Default camera
#video=cv2.VideoCapture(0)

##Local video files
#video=cv2.VideoCapture('videos/chn_video.mp4')

#Web cam link
video=cv2.VideoCapture('http://192.168.43.157:4747/video?640x480')
while True:
    success, frame = video.read()
    if success == True:
        ##To get gray scale image
        #gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        faces = trainedDataset.detectMultiScale(frame)
        ##Printing detected face range
        #print(faces)
        for x, y, w, h in faces:
            cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 0, 255), 2)
            ##Circle face
            #cv2.circle(frame, (x + w//2, y + h//2), 100, (0, 0, 255), 2)
        #video is Title of the screen
        cv2.imshow('Sample face detection', frame)
        cv2.waitKey(1)
    else:
        print('No frame present!')
        break

Output