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Title	Design Of Neural Network-Based Smart City Security Monitoring System
ID_Doc	18901
Authors	Yao Y.
Year	2024
Published	ACM International Conference Proceeding Series
DOI	http://dx.doi.org/10.1145/3675249.3675297
Abstract	This paper presents a smart city security system using AI to enhance urban monitoring and public safety. It features a hierarchical architecture, processes video and multimodal data, and employs CNNs and RNNs for detecting 173 types of violations with 93.6% accuracy. The system, hosted on Kubernetes, shows excellent scalability, with a query response time of 246.8 milliseconds and 98% of events processed under 1 second. Future work will focus on improving complex scene recognition and optimizing GPU resources. © 2024 ACM.
Author Keywords	Artificial Intelligence; Security Monitoring; Smart City

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