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CAE solicits original research papers for the September 2020 Edition. Last date of manuscript submission is August 31, 2020.

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Design and Implementation of a Smart Surveillance System

Oluwaseun Olujide Ilori, Kingsley Monday Udofia, Unwana Ubong Iwok. Published in Security.

Communications on Applied Electronics
Year of Publication: 2020
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Oluwaseun Olujide Ilori, Kingsley Monday Udofia, Unwana Ubong Iwok
10.5120/cae2020652855

Oluwaseun Olujide Ilori, Kingsley Monday Udofia and Unwana Ubong Iwok. Design and Implementation of a Smart Surveillance System. Communications on Applied Electronics 7(33):8-12, March 2020. BibTeX

@article{10.5120/cae2020652855,
	author = {Oluwaseun Olujide Ilori and Kingsley Monday Udofia and Unwana Ubong Iwok},
	title = {Design and Implementation of a Smart Surveillance System},
	journal = {Communications on Applied Electronics},
	issue_date = {March 2020},
	volume = {7},
	number = {33},
	month = {Mar},
	year = {2020},
	issn = {2394-4714},
	pages = {8-12},
	numpages = {5},
	url = {http://www.caeaccess.org/archives/volume7/number33/866-2019652855},
	doi = {10.5120/cae2020652855},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

In this paper, a smart surveillance system for home security is developed. The system consists of a motion detection system, an authentication system, an alert system and a web application control panel. It uses raspberry pi as the main controller which was programmed using python, a PIR sensor and a camera for motion detection and taking of images, an RFID reader/card for authentication, a USB modem for phone calls which also connect the device to the internet to allow it send images of an intruder to the owners email, a buzzer as an alarm and a web application control panel that could be accessed over the raspberry pi’s Wi-Fi to manage the system. This system was tested using various scenarios such as user authentication, intruder or wrong authentication and it worked as expected.

References

  1. Mesnik, B. (2016).The History of Video Surveillance. Retrieved from https://kintronics.com/the-history-of-video-surveillance
  2. Nalini M., Kiran G.V (2017). Automatic Surveillance System Using Raspberry Pi And Arduino, International Journal of Engineering Sciences & Research Technology, 6(5), 635-640.
  3. Sheshai.S.S (2016), Raspberry PI Based Security System, University Of Nairobi, Kenya.
  4. Ovseník, L., Kolesárová A., Turán J. (2010). Video Surveillance Systems, Acta Electrotechnica et Informatica, 10 (4), 46–53.
  5. Nosiri O.C., Akwiwu-Uzoma C.C., Nmaju U.A., Elumeziem C.H.(2018).Motion Detector Security System for Indoor Geolocation. International Journal of Engineering and Applied Sciences (IJEAS), 5(11), 24-30.
  6. Lee H.K., Chuah C.W (2018).Smart Indoor Home Surveillance Monitoring System Using Raspberry, International Journal on Informatics Visualization, 2(4), 299-308.
  7. Nasimuzzaman C., Shiblee, N., Sarker S., (2013), Access Control of Door and Home Security by Raspberry Pi through Internet. International Journal of Scientific and Engineering Research, 4(11), 550-558.
  8. Angela A., Gidveer G. R (2016). Live Streaming Motion Detection Camera Security System with Email Notification using Raspberry Pi, IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), 142-147.

Keywords

Closed-Circuit Television, Surveillance, Raspberry pi, Motion Detection, RFID Authentication.