Added Value - adam-gaynor/RPiFaceRecognition GitHub Wiki

#Added Value to the Project Face recognition has obviously been done before on computers and even the raspberry pi. My old project on motion tracking (mostly obtained from Adrian's site) gave me a significant starting point for opening the camera and reading frames from it, but this project's code is all original, and written by myself. The camera used is different from any other one I have personally seen online as most use a webcam to make use of OpenCV's camera stream libraries. The Pi's serial camera is much faster and allows data to be processed faster than data through a USB webcam. The haarcascade frontal face classifier XML file is supplied by OpenCV and I did not create that from scratch.

During this project, I learned a large amount about facial recognition, haar cascade classifiers, positive/negative edges, motion tracking, bounding boxes, the CSI interface, a variety of OpenCV/Python methods, and how to compile and optimize code for the limited resources of the Raspberry Pi 2.