Research and design of smart campus security information recognition and architecture based on LoRaWAN

Xin Xiong; Juwei Liang; Jing Hu

doi:10.1117/12.3033519

12 July 2024 Research and design of smart campus security information recognition and architecture based on LoRaWAN

Xin Xiong, Juwei Liang, Jing Hu

Proceedings Volume 13185, International Conference on Communication, Information, and Digital Technologies (CIDT2024) ; 131850O (2024) https://doi.org/10.1117/12.3033519
Event: International Conference on Communication, Information and Digital Technologies, 2024, Wuhan, China

Abstract

Campus security supervision and information security early warning are crucial aspects propelling the advancement of smart campuses, exemplifying the integration of Internet and AI technologies in the realm of intelligent campus living. This study begins by addressing the challenge of network communication constraints in campus security system design. It examines the limitations of traditional technology-centric approaches in campus security systems and proposes a security system design strategy centered on Long Range Wide Area Network (LoRaWAN) technology. This includes the comprehensive architectural blueprint of intelligent security oversight systems and the establishment of intelligent campus security management and operation centered on garbage information identification in campus cultural development. Furthermore, feature algorithms are integrated into the software framework of the system to enhance the effectiveness of information security construction, thereby strengthening the system's operation under the auspices of LoRaWAN technology. Research findings highlight that the system, leveraging LoRaWAN technology, achieves a recognition accuracy exceeding 98% in garbage information identification, with an average recognition accuracy of 92.34% across various rotation angles. Data flow updates adhere to normative data refresh intervals, with an average response time of 1.65 seconds for diverse respective commands. The wireless communication paradigm supported by LoRaWAN effectively facilitates campus security oversight and data handling, providing innovative technical avenues and conceptual frameworks for campus security design paradigms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Xin Xiong, Juwei Liang, and Jing Hu "Research and design of smart campus security information recognition and architecture based on LoRaWAN", Proc. SPIE 13185, International Conference on Communication, Information, and Digital Technologies (CIDT2024) , 131850O (12 July 2024); https://doi.org/10.1117/12.3033519

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KEYWORDS

Information security

Network security

Computer security

Design

Internet of things

Data transmission

Detection and tracking algorithms

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