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IOT based Facial Recognition Door Access Control Home Security System

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Anjali Patel, Ashok Verma
10.5120/ijca2017915177

Anjali Patel and Ashok Verma. IOT based Facial Recognition Door Access Control Home Security System. International Journal of Computer Applications 172(7):11-17, August 2017. BibTeX

@article{10.5120/ijca2017915177,
	author = {Anjali Patel and Ashok Verma},
	title = {IOT based Facial Recognition Door Access Control Home Security System},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2017},
	volume = {172},
	number = {7},
	month = {Aug},
	year = {2017},
	issn = {0975-8887},
	pages = {11-17},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume172/number7/28262-2017915177},
	doi = {10.5120/ijca2017915177},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

This paper deals with the idea of secure locking automation utilizing IOT for door unlocking system to provide essential security to our homes, bank lockers and related control operations and security caution through the GSM module .It uses an image capturing technique in an embedded system based on raspberry pi server system. RPi (Raspberry pi) controls the video camera for catching it for turning on a relay for door unlocking. The module contains a secured face recognizer for automatic door unlocking. The camera catches the facial picture and compares it with the image which is stored in the database .If the picture is found in the database then the door lock opens otherwise it will produce a SMS that an unknown person is trying to gain access.

References

  1. Januzaj, Y., Luna, A., Ramaj, V. 2015 Real time access control based on Facial Recognition.
  2. Lwin, H., Khaing, A., Tun, H. 2015.Automic door access system using face recognition.
  3. Chowdhury, M., Nooman, S. 2013. Access Control of Door and Home Security by Raspberry Pi through Internet.
  4. Senthikumar, G., Gopalkrishnan, K., Sathish Kumar, V. 2014 Embedded Image Capturing System Using Raspberry Pi System.
  5. Çarıkçı, M., , Özen, F. 2012 A Face Recognition System Based on Eigen faces Method.
  6. Jogdand, S., Karanjkar, M. 2015Implementation of Automated Door Accessing System with Face Design and Recognition.
  7. Sowmiya, U., shafiq mansoor, J. 2015 Raspberry pi based home door security through 3g dongle.
  8. Kartik J. Srimadhavan V. 2013 SMS Alert and Embedded Network Video Monitoring Terminal.
  9. Sahani, M., Nanda, C., Sahu, A., Pattnaik, B. 2015Web Based Online Embedded Door Access Control and Home Security System Based on Face Recognition,.
  10. Mulla,,M., Patil, R. 2015 .Facial Image Based Security System using PCA.
  11. Gubbi, Jayavardhana,. (2013) Internet of Things (IOT): A vision, architectural elements, and future directions. Future Generation Computer Systems 29.7: 1645-1660.
  12. Raspberry Pi Foundation [Online] http://www.raspberrypi.org/downloads/.

Keywords

Facial Recognition; Internet of Things(IOT);Image matching; Sensor System; Digital camera; Raspberry Pi 3;Person Identification