Face Detection Using Python and OpenCV Library

This project will use the OpenCV library and python to facilitate face detection

1. An Intel Edison Development Board

2. A webcam, we will use the Light Wave LW-IC500

3. Python and the openCV library installed on your machine

The Intel Edison board has an inbuilt USB port, through which you can connect your webcam. This will provide power and get images from the camera.

Also, connect the Edison to your computer through the provided USB Cable in order to upload programs. Make sure your putty is running well, and is connected to the board

import numpy
import cv2 import urllib print("Downloading Images and Necessary Files") urllib.urlretrieve('http://cdn.makezine.com/make/43/Intel_CES_Team.png', '/usr/lib/edison_config_tools/public/in.jpg') urllib.urlretrieve('https://raw.githubusercontent.com/Itseez/opencv/master/data/haarcascades/haarcascade_frontalface_alt.xml', '/usr/lib/edison_config_tools/public/haarcascade_frontalface_alt.xml') img = cv2.imread('/usr/lib/edison_config_tools/public/in.jpg') gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml') faces = faceCascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=5,minSize=(30, 30), flags = cv2.cv.CV_HAAR_SCALE_IMAGE) for (x,y,w,h) in faces: cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) cv2.imwrite('in_face_found.png',img)

Log on to your html page and check the results out