改进安防系统的家庭识别研究维度

Jayakshata Pr, Kambam Shreya, S. Hariharan, V. Kukreja, H. Reddy, Andraju Bhanu Prasad
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引用次数: 0

摘要

从使用密码的数字安全时代开始,人工智能领域的研究开启了新的安全方式,其中最常用的方法是面部识别。智能家居识别系统必须具备面部特征识别、动作感应、异常动作检测、录像记录、紧急情况报警、远程门禁等功能。这些特性带来了大量不可避免的缺点和风险,比如黑客入侵系统和高成本。本文旨在结合几位作者发表的相关著作,对家庭安全识别系统的现状和功能进行全面的调查。工作结果旨在对该系统的当前阶段方法、特点和问题提出详细而全面的看法,并讨论该领域未来的研究范围。
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Research Dimension on Home Recognition for Improved Security System
Moving from the era of using passwords, passcodes for digital security, research in the field of Artificial Intelligence has enabled new ways of security, wherein the most commonly used method is Facial recognition. A smart home recognition system must be capable of identifying facial features, motion sensing and detection of unusual movement, record the footages, alert user in emergency situation and remote access to door lock. These features come with a number of abundant and unavoidable drawbacks and risks like hacking into the system and high cost. This paper aims to conduct a complete survey of the current issues and functioning of recognition systems for home security based on related works published by several authors on the same. The result of the work is targeted at proposing a detailed and holistic view of current stage methods, features and issues of the system and discuss the future scope in this field of study.
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