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Reseach Article

ChikonEye: Open Source Software for Preventing Unauthorized Access to Electronic Devices and Information using Face Recognition

by Ashrafur Rahman Minhaj, Masum Bakaul
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 31
Year of Publication: 2021
Authors: Ashrafur Rahman Minhaj, Masum Bakaul
10.5120/ijca2021921244

Ashrafur Rahman Minhaj, Masum Bakaul . ChikonEye: Open Source Software for Preventing Unauthorized Access to Electronic Devices and Information using Face Recognition. International Journal of Computer Applications. 174, 31 ( Apr 2021), 1-3. DOI=10.5120/ijca2021921244

@article{ 10.5120/ijca2021921244,
author = { Ashrafur Rahman Minhaj, Masum Bakaul },
title = { ChikonEye: Open Source Software for Preventing Unauthorized Access to Electronic Devices and Information using Face Recognition },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2021 },
volume = { 174 },
number = { 31 },
month = { Apr },
year = { 2021 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number31/31874-2021921244/ },
doi = { 10.5120/ijca2021921244 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:23:51.109670+05:30
%A Ashrafur Rahman Minhaj
%A Masum Bakaul
%T ChikonEye: Open Source Software for Preventing Unauthorized Access to Electronic Devices and Information using Face Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 31
%P 1-3
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this emerging era of technology, ensuring data security is a challenge to be provided for systems of different sizes and types. An open source software is presented to allow authorization to a device having sensitive work-related information. In an exemplification of this project, an unlocked device configured to capture images, analyze the images to see who and how many faces are looking at the device and automatically locks the device if detected faces is not recognized as authorized. The software is implemented using open source computer vision (OpenCV) library for image processing operation. The recognizer has been trained with 100 images of each authorized user to generate a dataset on which the system relies to recognize authorized users using openCV python bindings. Voila-Jones algorithm is used to detect faces in images using the built in camera of a system.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Access Control Camera Computer Vision.