Learning-Aided IoT Set-Up for Home Surveillance Applications

J. Borah, K. K. Sarma, P. Gohain
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引用次数: 1

Abstract

Of late, home surveillance systems have been enhanced considerably by resorting to increased use of automated systems. The automation aspect has reduced human intervention and made such systems reliable and efficient. With the proliferation of wireless devices, networking among the connected devices is leading to the formation of internet of things (IoT). This has made it essential that home surveillance systems be also automate using IoT. The decision support system (DSS) in such platforms necessitates that automation be extensive. It necessitates the use of learning-aided systems. This chapter reports the design of IoT-driven learning-aided system for home surveillance application.
用于家庭监控应用的学习辅助物联网设置
最近,家庭监视系统通过更多地使用自动化系统而得到了极大的加强。自动化方面减少了人为干预,使这些系统可靠和高效。随着无线设备的激增,被连接设备之间的联网导致物联网(IoT)的形成。这使得家庭监控系统也必须使用物联网实现自动化。这些平台中的决策支持系统(DSS)需要广泛的自动化。这就需要使用辅助学习系统。本章报告了物联网驱动的家庭监控辅助学习系统的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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