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Smart Home Security System using Iot, Face Recognition and Raspberry Pi

by Manoj R. Dhobale, Rekha Y. Biradar, Raju R. Pawar, Sharad A. Awatade
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 13
Year of Publication: 2020
Authors: Manoj R. Dhobale, Rekha Y. Biradar, Raju R. Pawar, Sharad A. Awatade
10.5120/ijca2020920105

Manoj R. Dhobale, Rekha Y. Biradar, Raju R. Pawar, Sharad A. Awatade . Smart Home Security System using Iot, Face Recognition and Raspberry Pi. International Journal of Computer Applications. 176, 13 ( Apr 2020), 45-47. DOI=10.5120/ijca2020920105

@article{ 10.5120/ijca2020920105,
author = { Manoj R. Dhobale, Rekha Y. Biradar, Raju R. Pawar, Sharad A. Awatade },
title = { Smart Home Security System using Iot, Face Recognition and Raspberry Pi },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2020 },
volume = { 176 },
number = { 13 },
month = { Apr },
year = { 2020 },
issn = { 0975-8887 },
pages = { 45-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number13/31265-2020920105/ },
doi = { 10.5120/ijca2020920105 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:42:28.296404+05:30
%A Manoj R. Dhobale
%A Rekha Y. Biradar
%A Raju R. Pawar
%A Sharad A. Awatade
%T Smart Home Security System using Iot, Face Recognition and Raspberry Pi
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 13
%P 45-47
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the today’s world the security of the home is the prime concern. The traditional methods of securing our home are very easy to break and lead to theft. To protect the home, we need to install the costly security system. To overcome this problem, we are presenting IoT based solution where we can setup a smart home security system. In this paper we are proposing the system with the help of face recognition to develop the automatic door lock and unlock system. It also gives us the facility to monitor our home remotely and take appropriate action if anything goes wrong. The Pi camera will be attached to the Raspberry pi accompanied with Passive Infrared and other sensors. Camera captures an image of the person in front of the door, then real-time face recognition is done using local binary pattern (LBP) [3]. If person’s image matches with one of the home members or identified person then the door will unlock otherwise won’t. Email containing image of the unknown person will be sent to the homeowner to his Gmail Id. The proposed system keeps the owner informed in the real time about the unknown person at the door of the home.This information will help the user to take necessary actions.

References
  1. IndiaBurglaryRate,20032016:https://knoema.com/atlas/India/topics/Crime-Statistics/Burglary-Car-Theft-and-Housebreaking/Burglary-ra te
  2. Sandesh Kulkarni, Minakshee Bagul, AkanshaDukare, Prof. Archana Gaikwad. “Face Recognition System Using IoT”, International Journal ofAdvanced Research in Computer Engineering&Technology, November-2017.
  3. Zhengzheng Liu, Lianrong Lv, “Development of face Recognition System Based on PCA and LBP for Intelligent Anti- Theft Doors”, 2nd IEEE International Conference on Computer and Communications,2016.
  4. Anjali Patel, “IoT based Facial door access control home security system”, “International Journal of Computer Applications, August 2017.
  5. HomeBurglary Statistics 2019: https://reolink.com/home-burglary-crime-statistics/
  6. Internet of Things-IoT Agenda-TechTarget: https://internetofthingsagenda.techtarget.com/definition/Internet-of-Things-IoT
  7. Dwi Ana Ratna, Wati Dika Abadianto, “Design of Face Detection and Recognition System for Smart Home Security Application”, 2017 2nd ICITISEE
  8. Jiakailin Wang, Jinjin Zheng, Shiwu Zhang, Jijun He, Xiao Liang and Sui Feng, “A Face Recognition System Based on Local Binary Patterns and Support Vector Machine for Home Security Service Robot”, 2016 9th International Symposium on Computational Intelligence and Design
  9. LocalBinaryPattern:https://towardsdatascience.com/face-recognition-how-lbph-works-90ec258c3d6b
  10. Raspberry Pi: www.raspberrypi.org
Index Terms

Computer Science
Information Sciences

Keywords

Home Security System Face Recognition Raspberry Pi