Raspberry Pi and old personal computer’s based face detection and recognition system.

Abstract

This project aims to deploy a network. This network consists of group of computers connected together with a microcomputer to which a camera is connected. The system will take images of people, analyze, detect and recognize the human faces using image processing algorithms, thus such a system can serve as a security system in public gathering (e.g. Malls, Universities, airports ...etc.). The system will be able to detect and recognize a human face in different situations and scenarios.

This project will implement “Boosted Cascade of Simple Features algorithm” to detect human faces. “Local Binary Pattern algorithm” to recognize these faces. Raspberry Pi will be the main component for its remarkable capabilities among with the raspberry pi camera for image capturing; all needed programmers are written in python 2 and 3.

The project goals were achieved, an improvement of about 80 % in recognition processing time was gained due to the multiple server approach, load balancing were also achieved to send images over the connected servers.