使用树莓派进行人脸检测和识别

I. Gupta, Varsha Patil, Chaitali Kadam, S. Dumbre
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引用次数: 33

摘要

在当今世界,人脸识别是安全监控的重要组成部分。因此,需要一种高效率和成本效益高的系统。我们的目标是探索使用传统的人脸检测和识别技术(如Haar检测和PCA)实现基于树莓派的人脸识别系统的可行性。本文旨在将人脸识别提高到系统可以取代使用密码和射频i -卡进入高安全性系统和建筑物的水平。通过使用树莓派套件,我们的目标是使系统具有成本效益和易于使用的高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Face detection and recognition using Raspberry Pi
in today's world, face recognition is an important part for the purpose of security and surveillance. Hence there is a need for an efficient and cost effective system. Our goal is to explore the feasibility of implementing Raspberry Pi based face recognition system using conventional face detection and recognition techniques such as Haar detection and PCA. This paper aims at taking face recognition to a level in which the system can replace the use of passwords and RF I-Cards for access to high security systems and buildings. With the use of the Raspberry Pi kit, we aim at making the system cost effective and easy to use, with high performance.
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