Enhancing Security with Intelligent Video Surveillance: An In-Depth Study of Technology, Applications, and System Architecture


연구 분야: Infrastructure



학회: 2024 4th International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM)


초록

With the continuous progress of science and technology and the acceleration of urbanization, the application of security monitoring systems in public safety, commercial monitoring and home security has become increasingly important. However, the current traditional monitoring system has many limitations in terms of function and performance. The traditional monitoring system mainly relies on human monitoring, which is not only inefficient, but also prone to missing and false alarms. In addition, these systems often lack intelligent processing capabilities to identify and respond to potential threats in a timely and accurate manner. The intelligent video surveillance system uses advanced image processing and artificial intelligence technology to automatically analyze video content, detect and identify abnormal behavior in real time, and greatly improve the efficiency and security of monitoring. The advantage of intelligent video surveillance system is that it can provide automatic alarm and response functions, reduce human intervention, and improve the comprehensiveness and timeliness of security protection. The goal of this research is to further improve the security and monitoring efficiency through the application of intelligent video surveillance technology, and realize automatic alarm and response systems. The study will focus on the specific application of intelligent video surveillance in multiple application scenarios such as urban security, commercial surveillance, and home security, as well as the key components required by the system, including cameras, analysis servers, and user interfaces. Through the in-depth research and application of intelligent video surveillance technology, it is expected to provide more intelligent and efficient solutions for various security monitoring needs.


Author Profile
Ruijie Huang

AI of FST Beijing Normal University-Hong Kong Baptist University United International College Zhuhai China

Anguilla
Author Profile
Weixin Liu

AI of FST Beijing Normal University-Hong Kong Baptist University United International College Zhuhai China

Anguilla

📄 논문 정보

발행 연도 2024년
인용수 63
출판 국가 Anguilla
사이트 IEEE
좋아요 수 0

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