IoT Enabled Smart Security Framework for 3D Printed Smart Home

Zhihan Xu, Shuja Ansari, Amir M. Abdulghani, Muhammad Ali Imran, Q. Abbasi
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引用次数: 2

Abstract

Recently, smart home design using Internet of Things (IoT) technology has become a growing industry. Since security is the most important element of the smart home design, the project aims to design a 3D printed smart home with a focus on the security features that would meet the security design of futuristic real homes. The surveillance system of traditional smart home is separated from the door lock system. This project innovatively integrates and coordinates them through the facial recognition algorithms, which forms the entry system of this design. The overall system can be divided into two subsystems (parts), which are the sensing and actuation system (PART I) and the entry system (PART II). PART I includes various sensors and actuators to ensure the security of home, including combustible gas sensor, air quality sensor and temperature & humidity sensor. When anomalies are detected by sensors, actuators such as ventilator, buzzer and LEDs start to work. In PART II, the PIR motion sensor is utilized to detect the person to activate the facial recognition step. Facial recognition algorithm (LBPH algorithm) is implemented for person classification, which is used in selecting the duration of recording for the surveillance system. The surveillance system could select not to record for the occupants or different levels of recording for each occupant based on the confidence of recognition. The project outcomes a 3D printed smart home with a door lock system, a surveillance system, and a sensing & actuation network, which accomplishes the security features in perception and network layer of IoT system design.
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3D打印智能家居的物联网智能安全框架
最近,使用物联网(IoT)技术的智能家居设计已经成为一个新兴产业。由于安全是智能家居设计中最重要的元素,因此该项目旨在设计一个3D打印的智能家居,重点关注安全功能,以满足未来现实家庭的安全设计。传统智能家居的监控系统与门锁系统是分离的。本项目通过人脸识别算法对二者进行创新性的整合和协调,形成本设计的入口系统。整个系统可以分为两个子系统(部分),即传感和执行系统(第一部分)和进入系统(第二部分)。第一部分包括各种传感器和执行器,以确保家庭的安全,包括可燃气体传感器,空气质量传感器和温湿度传感器。当传感器检测到异常时,执行器(如通风机、蜂鸣器和led)开始工作。在第二部分中,利用PIR运动传感器检测人以激活面部识别步骤。采用人脸识别算法(LBPH算法)进行人物分类,用于监控系统记录时长的选择。监控系统可以根据识别的置信度选择不对乘员进行记录或对每个乘员进行不同程度的记录。项目成果为3D打印智能家居,包含门锁系统、监控系统和传感驱动网络,完成物联网系统设计感知层和网络层的安全功能。
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