This is a face recognition webapp and a python program. The webapp gets the video from 
the webcam however you can input any video file manually. When the face is recognised 
the frame of video gets saved into the local database.

	1. Install Python
	2. Install OpenCV
	3. Install Flask
	 Then Run Main.py through Cmd.

	I used Opencv and HaarCascading for face detection.Here we will work with face 
	detection. In Haar-cascading the algorithm needs a lot of positive
	images (images of faces) and negative images (images without faces) to train 
	the classifier. Then we need to extract features from it. For
	this, Haar features are used. They are just like our 
	convolutional kernel.Each feature is a single value obtained by subtracting 
	sum of pixels under the white rectangle from sum of 
	pixels under the black rectangle.

	- docs.opencv.org
	- http://flask.pocoo.org/docs/1.0/
	- www.pythonprogramming.net
	- https://github.com/log0/video_streaming_with_flask_example

> I created a simple html page for the video stream.

> Then I used flask and python for the scripting of the page, how it will capture the live video 
  from webcam.
  
> With flask I used render_teamplate to render the html page and for some other functions as well.

> After creating the simple webcam stream, I used opneCV to produce the results.

> I used haarcasacading and cascadeclassifier class for face detection and functios of opencv 
to save the image fom video dtream with detected face.