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Amazon echo enabled IoT home security system for smart home environment

  • Himanshu Thapliyal
  • , Nathan Ratajczak
  • , Ole Wendroth
  • , Carson Labrado

Producción científica: Conference contributionrevisión exhaustiva

7 Citas (Scopus)

Resumen

Ever-driven by technological innovation, the Internet of Things (IoT) is continuing its exceptional evolution and growth into the common consumer space. In the wake of these developments, this paper proposes a framework for an IoT home security system that is secure, expandable, and accessible. Congruent with the ideals of the IoT, we are proposing a system utilizing an ultra-low-power wireless sensor network which would interface with a central hub via Bluetooth 4, commonly referred to as Bluetooth Low Energy (BLE), to monitor the home. Additionally, the system would interface with an Amazon Echo to accept user voice commands. The aforementioned central hub would also act as a web server and host an internet accessible configuration page from which users could monitor and customize their system. An internet-connected system would carry the capability to notify the users of system alarms via SMS or email. Finally, this proof of concept is intended to demonstrate expandability into other areas of home automation or building monitoring functions in general.

Idioma originalEnglish
Título de la publicación alojadaProceedings - 2018 IEEE 4th International Symposium on Smart Electronic Systems, iSES 2018
Páginas31-36
Número de páginas6
ISBN (versión digital)9781538691724
DOI
EstadoPublished - jul 2 2018
Evento4th IEEE International Symposium on Smart Electronic Systems, iSES 2018 - Hyderabad, India
Duración: dic 17 2018dic 19 2018

Serie de la publicación

NombreProceedings - 2018 IEEE 4th International Symposium on Smart Electronic Systems, iSES 2018

Conference

Conference4th IEEE International Symposium on Smart Electronic Systems, iSES 2018
País/TerritorioIndia
CiudadHyderabad
Período12/17/1812/19/18

Nota bibliográfica

Publisher Copyright:
© 2018 IEEE.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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