Implementation of Human Face Detection & Recognition System on Raspberry Pi

Abstract

Face detection is concerned with finding whether or not there are any faces in a given image and if
present, returns the image location and content of each face. Security and surveillance are the two important aspects
of human being. In this dissertation, we propose face detection and recognition system that will be capable of
processing images very fast while acquiring very high true positive face detection rate. This dissertation describes a
simple and easy hardware implementation of face detection system using Raspberry Pi. The system is programmed
using Python programming language. Both real time face detection and face detection from specific images, i.e.
Object Recognition is carried out and the proposed system is tested across various standard face databases, with and
without noise and blurring effects. Efficiency of the system is analysed by calculating the Face detection rate for each
of the database. The results reveal that the proposed system can be used for face detection even from poor quality
images and shows excellent performance efficiency. Thus with the help of this system, time will be saved. With the
help of this system, it is so convenient to record attendance. We can take attendance on any time.