An Analytics Enabled Wireless Anti-Intruder Monitoring and Alarm System

Authors

  • Victor O. Matthews  Department of Electrical and Information Engineering, Covenant University, Ota, Ogun State, Nigeria
  • Etinosa Noma-Osaghae  Department of Electrical and Information Engineering, Covenant University, Ota, Ogun State, Nigeria
  • Uzairue Stanley Idiake  Department of Electrical and Information Engineering, Covenant University, Ota, Ogun State, Nigeria

Keywords:

Alarm, anti-intruder, motion sensing, images, analytics, cloud, server, application programme interface, security, home.

Abstract

Home intruder detection and alarm system rely on a number of factors to determine if an alarm should be triggered. These factors depend greatly on the type of sensors used and the amount of analytical capability built into the alarm system. Presently, most home intruder detection and alarm systems in the market are highly prone to false alarms because they do not have any analytical capability. In this paper, an analytics enabled wireless anti-intruder monitoring and alarm system that is simple and low in cost is proposed. The proposed alarm system uses still images and the location of sensed motion within the premises of the home to help home owners make informed alarm triggering decisions. The designed security system offers the option of allowing multiple key holders receive security alerts via the cellular network’s Short Message Service (SMS). The system also gives the option of sending distress messages to the police or trusted neighbours.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-06-30

Issue

Volume 4, Issue 9, July-August-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Victor O. Matthews, Etinosa Noma-Osaghae, Uzairue Stanley Idiake, " An Analytics Enabled Wireless Anti-Intruder Monitoring and Alarm System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 9, pp.05-11, July-August-2018.