A project aimed at Computer Vision, facial recognition system was built in Python using OpenCV. It compares the information with a database of known faces to find a match and identifies the person. This project uses various haarcascade classifiers to detect the object for which it has been trained for

OpenCV is a library of programming functions mainly aimed at real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage then Itseez. The library is cross-platform and free for use under the open-source BSD license.

A Haar Cascade is basically a classifier which is used to detect the object for which it has been trained for, from the source. The Haar Cascade is trained by superimposing the positive image over a set of negative images. The training is generally done on a server and on various stages.

Python , OpenCV

1.fork and then clone or just simply download zip file
2.Open spyder IDE
3.Set the current directory to the directory where code is downloaded
4.Open the code
5.Click on Run