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机构地区:[1]江西师范大学物理与通信电子学院,江西 南昌 [2]江西软件职业技术大学智能科技学院,江西 南昌
出 处:《软件工程与应用》2024年第2期234-243,共10页Software Engineering and Applications
摘 要:随着人口老龄化的不断加剧,老年人的居家安全问题变得日益突出,尤其是跌倒和火灾等意外事件。传统的监控方式主要依赖于人工观察和分析,难以实现对视频内容的智能识别、分析与处理,无法及时有效地防范潜在的安全风险。该文研究并设计一种基于RK3588的老人智能监控系统,内容包括系统平台设计、智能算法设计、智能识别等。该系统不仅实现了视频画面的线上实时监控与视频录制,而且可以快速并准确地对姿态和火焰进行识别。与传统的家庭监控系统相比,本研究设计的系统解决了监控存在的效率低下和便捷性不足的问题,大幅提升了老人安全监控的效能。With the escalating aging population, the issue of elderly home safety has become increasingly prominent, especially regarding accidents such as falls and fires. Traditional monitoring methods primarily rely on manual observation and analysis, which are inadequate for intelligent recognition, analysis, and processing of video content. Consequently, they fail to promptly and effectively prevent potential safety risks. This paper studies and designs an intelligent elderly monitoring system based on RK3588, encompassing system platform design, intelligent algorithm design, and intelligent recognition. This system not only enables real-time online monitoring and video recording of video footage but also rapidly and accurately identifies posture and flame detection. Compared to traditional home monitoring systems, the system designed in this study addresses issues of inefficiency and inconvenience, significantly enhancing the effectiveness of elderly safety monitoring.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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