Design of face detection and recognition system for smart home security application

D. A. R. Wati, Dika Abadianto
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引用次数: 48

Abstract

This research designs face detection and recognition systems for smart home security application. The design is implemented using MyRIO 1900 and programmed using LabVIEW. The connection between myRIO and computer is wifi network. The image of a person is acquired via webcam connected to MyRIO using USB cable. The face detection system is built based on the template matching, while the face recognition is based on the principle component analysis. The testing is done to examine the performance of the face detection in various change of distance, light intensity, light position angles, person's accessories and shirt colour. The face detection modul has good performance in some conditions as distance between the person and the camera is less than 240 cm, person doesn't use accessories that cover part of face, person doesn't use shirt with colour similar to skin colour, and background colour is difference from skin colour. While the face recognition system has 80% of accuracy when it is tested using realtime image. The combination with password is needed in order to increase the security level as it is applied in real smart home security systems.
人脸检测识别系统在智能家居安防应用中的设计
本课题设计了智能家居安防应用中的人脸检测与识别系统。本设计使用MyRIO 1900实现,使用LabVIEW编程。myRIO与电脑之间的连接是wifi网络。一个人的图像是通过使用USB线连接到MyRIO的网络摄像头获取的。人脸检测系统是基于模板匹配构建的,人脸识别是基于主成分分析的。测试了在距离、光强、光位角度、人的配饰、衬衫颜色等不同变化条件下的人脸检测性能。人脸检测模块在人与相机距离小于240cm、人不使用遮挡部分面部的配件、人不使用与肤色相近的衬衫、背景颜色与肤色不同等条件下具有较好的性能。而人脸识别系统在使用实时图像进行测试时,准确率达到80%。在实际的智能家居安防系统中,为了提高安全级别,需要与密码进行组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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