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实时检测入侵者使用声学传感器和物联网计算
Najeeb Al-Khalli1,2, Saud Alateeq3, Mohammed Almansour3
1KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh 11421, Saudi Arabia.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
本研究介绍了一种创新的基于声学的家庭安全系统,使用物联网 (IoT). 该系统通过分析声音模式有效地检测入侵者,提高了家庭安全.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 安全系统安全系统
背景情况:
- 现代家庭自动化系统越来越多地整合了像摄像头和雷达这样的安全功能.
- 现有的系统在检测微妙或意想不到的入侵时可能存在局限性.
- 需要先进的,用户友好的安全解决方案,利用新兴技术.
研究的目的:
- 提出和评估一个创新的家庭安全系统,利用声信号分析.
- 开发基于物联网 (IoT) 的系统,实时检测和通知入侵者.
- 实施和测试一个自适应检测算法,以提高安全性.
主要方法:
- 拟议的系统采用一种自适应式检测算法:"短时间平均值通过长期平均值" (STA-LTA).
- 实现是使用物联网 (IoT) 设备实现的,具体来说是一个Arduino Duo.
- 该系统分析来自各种来源的声信号,如脚步,落的物体和语音,以达到安全目的.
主要成果:
- 该系统在检测潜在安全漏洞的声学事件方面表现出有效性.
- 使用一组10个不同的声学信号,包括背景噪声来评估性能.
- 详细研究了各种算法参数对系统性能的影响.
结论:
- 开发的基于物联网的声学安全系统为家庭和办公室的保护提供了一种新的方法.
- 通过声音分析,自适应的STA-LTA算法显示出可靠的入侵者检测.
- 该系统提供了一个用户友好和网络解决方案,以提高安全性.
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