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16 August 2023 Design and implementation of human behavior recognition information management system for financial institution monitoring based on RFID
Mulan Yang, Xuehan Hou, Lvqing Yang, Runhan Song, Weihua Qian, Yishu Qiu
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Proceedings Volume 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023); 127871T (2023) https://doi.org/10.1117/12.3004454
Event: 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023, Shenyang, China
Abstract
Under the tide of economic globalization, the number of trade in financial institutions has increased rapidly, and the demand for supervision of possible criminal acts in financial institutions has consequently increased. Therefore, using computer technology to process monitoring data has become a hot topic of current research. Therefore, this paper designs and implements a human behavior identification information management system framework based on RFID technology, and provides an overall solution from RFID hardware to software to identify and alarm possible abnormal behavior in financial institutions. A replaceable deep learning algorithm is used to identify and alarm various abnormal behaviors. Through real-time Web technology, police officers can view the relevant information of criminals in real time on the web page.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Mulan Yang, Xuehan Hou, Lvqing Yang, Runhan Song, Weihua Qian, and Yishu Qiu "Design and implementation of human behavior recognition information management system for financial institution monitoring based on RFID", Proc. SPIE 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023), 127871T (16 August 2023); https://doi.org/10.1117/12.3004454
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KEYWORDS
Design and modelling
Telecommunications
Data modeling
Antennas
Tunable filters
Action recognition
Deep learning
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