Intelligent anti-theft system based on cloud platform and enhanced recognition of unfamiliar faces

LIU Yang; LU Kui; WU Jiesheng

doi:10.13873/J.1000-9787(2021)04-0099-04

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Intelligent anti-theft system based on cloud platform and enhanced recognition of unfamiliar faces

更新时间：2025-09-11

- Intelligent anti-theft system based on cloud platform and enhanced recognition of unfamiliar faces
- Issue 4, Pages: 99-102(2021)
- 作者机构：
  
  1. 安徽理工大学电气与信息工程学院
  2. 安徽理工大学计算机科学与工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2021)04-0099-04
  CLC： TU89;TP391.41
- Published：2021
- 稿件说明：
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LIU Yang, LU Kui, WU Jiesheng. Intelligent anti-theft system based on cloud platform and enhanced recognition of unfamiliar faces[J]. 2021, (4): 99-102.
DOI：

LIU Yang, LU Kui, WU Jiesheng. Intelligent anti-theft system based on cloud platform and enhanced recognition of unfamiliar faces[J]. 2021, (4): 99-102. DOI： 10.13873/J.1000-9787(2021)04-0099-04.

摘要

针对人们对高性能防盗系统的需求

设计了智能防盗系统。结合Haar分类器和局部二值模式(LBP)特征提取

对人脸进行身份认证。针对LBP特征识别中对非匹配库中的人脸辨识度不高的缺点

设计一种有针对性的身份认证算法

加强系统对陌生人脸的识别。其次

针对传统防盗系统中屋主对安全消息获取不及时、不全面等弊端

利用One NET云平台

将系统识别到的人脸信息上传至云端;并通过手机联系屋主

从而提高系统的智能化水平。最后通过实测

证明了系统的有效性。

Abstract

Aiming at demand for high-performance anti-theft systems

a smart anti-theft system is designed.By combining Haar classifier and local binary pattern（ LBP） feature extraction

authenticate the identity of the face.Aiming at the shortcomings of LBP feature recognition in the face recognition which the face waiting to be recognized is not belong matching library

an identification authentication algorithms for enhancing recognition of strange faces by the system is designed.Secondly

aiming at the drawbacks that the owner can not obtain information in time or accurately in traditional anti-theft system.Improving the level of intelligence of the system by utilizing the One NET cloud platform

because the face information recognized by the system can upload to the cloud platform and notify the owner through the mobile phone.After the actual measurement

the effectiveness of the system is proved.

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