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

被引:0
作者
Van-Dung Hoang [1 ]
Van-Dat Dang [1 ]
Tien-Thanh Nguyen [2 ]
Diem-Phuc Tran [3 ]
机构
[1] Quang Binh Univ, Dong Hoi City, Vietnam
[2] Quang Binh Dept Sci & Technol, Dong Hoi City, Vietnam
[3] Duy Tan Univ, Da Nang City, Vietnam
来源
PROCEEDINGS OF 2018 5TH NAFOSTED CONFERENCE ON INFORMATION AND COMPUTER SCIENCE (NICS 2018) | 2018年
关键词
surveillance monitoring system; RFID; deep neural network; facial recognition;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:384 / 387
页数:4
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