A solution based on combination of RFID tags and facial recognition for monitoring systems

Van-Dung Hoang, Van-Dat Dang, Tien-Thanh Nguyen, Diem-Phuc Tran
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引用次数: 15

Abstract

Nowadays, science and technology and the industrial revolution 4.0 are growing rapidly. The field of object recognition has achieved significant result, and applied in many important tasks such as security monitoring, surveillance systems, autonomous systems, human-machine interaction and so on. The intelligent system based on deep learning technique is being used extensively in today’s life. A smart system brings to many benefits in living assistant systems. The contribution presents a solution based on combination of facial recognition and RFID (radio frequency identification) tags for the office checkup task in surveillance monitoring system (SMS). The SMS is constructed based on two main techniques to building intelligent systems which consist of face recognition technology and RFID tag recognition to monitor employee attendance when they are entering or leaving the office. In this system, the deep neural network is studied for face recognition. The system is connected to the SQL Server database to store the connection and ensure to synchronization is superior to the normal monitoring management systems.
一种基于RFID标签和面部识别相结合的监控系统解决方案
今天,科学技术和工业革命4.0正在迅速发展。物体识别领域已经取得了显著的成果,并在安防监控、监视系统、自主系统、人机交互等许多重要任务中得到了应用。基于深度学习技术的智能系统在当今的生活中得到了广泛的应用。智能系统为生活辅助系统带来了许多好处。本文提出了一种基于人脸识别和射频识别(RFID)标签相结合的解决方案,用于监控系统(SMS)的办公室检查任务。基于人脸识别技术和RFID标签识别两种主要技术构建智能系统,以监控员工进出办公室的考勤情况。在该系统中,研究了深度神经网络在人脸识别中的应用。系统与SQL Server数据库连接,存储连接,保证同步优于正常的监控管理系统。
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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