Real-time Surveillance system using Face Recognition and AR

N. Chandolikar, Vedang Bhange, Akash Hedau, Umesh K. Gaikwad, Rahul V. Baviskar, Abdulrahman Ahmed
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引用次数: 1

Abstract

In the age of information, surveillance systems are needed to be accurate and robust in order to provide exact outcomes. This paper discusses the idea to upgrade the surveillance system of high-profile building complexes by providing a real time access of information of any visitor/guest, using face detection and recognition and also providing the real time information of visitors with the help of augmented reality. The proposed system works on the principle of identification and data retrieval from the database. At first, it registers every visitor and then captures visitor’s face data, followed by this wherever visitor comes in camera range inside campus , it recognizes the visitor’s face based on data retrieval from dataset , further it projects the visitor data at real time as an augmented reality. It has significant applications in the field of security and surveillance especially for high-profile buildings like government offices, confidential complexes and corporate offices etc.
使用人脸识别和AR的实时监控系统
在信息时代,监测系统需要准确和健全,以便提供准确的结果。本文探讨了利用人脸检测和识别技术实时获取任何访客信息,并借助增强现实技术实时提供访客信息,从而对高层建筑群监控系统进行升级改造的思路。该系统的工作原理是识别和从数据库中检索数据。首先,它对每一位访客进行注册,然后捕捉访客的面部数据,随后,无论访客在校园内的摄像头范围内,它都会基于数据集的数据检索来识别访客的面部,并将访客数据实时投影为增强现实。它在安防监控领域有着重要的应用,尤其适用于政府办公、机密综合体、企业办公等高层建筑。
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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