Raspberry PI Based Human Face Detection

Abstract

Face detection is concerned with finding the faces in a given video. Most face detection algorithms are designed in the software domain and have a high detection rate, but they often require several seconds to detect faces in a single image, a processing speed that is insufficient for real-time applications. This project describes a simple and easy hardware implementation of face detection system using Raspberry Pi, which itself is a minicomputer of a credit card size and is of a very low price. The system is programmed using Python programming language. Video input is given to the Raspberry PI board. First the video should be preprocessed for further proceedings. After preprocessing 8 connected region algorithm is applied on the preprocessed video to detect the faces in the video. After face detection no faces is counted. The results reveal that the proposed system can be used for face detection even from poor quality images and shows excellent performance efficiency.

Existing System

Proposed System

Architecture

BLOCK DIAGRAM