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Reseach Article

Real-time Monitoring of Workforce: An approach based on Deep Features

by Sadique K.M., Amos R.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 29
Year of Publication: 2021
Authors: Sadique K.M., Amos R.
10.5120/ijca2021921668

Sadique K.M., Amos R. . Real-time Monitoring of Workforce: An approach based on Deep Features. International Journal of Computer Applications. 183, 29 ( Oct 2021), 13-16. DOI=10.5120/ijca2021921668

@article{ 10.5120/ijca2021921668,
author = { Sadique K.M., Amos R. },
title = { Real-time Monitoring of Workforce: An approach based on Deep Features },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2021 },
volume = { 183 },
number = { 29 },
month = { Oct },
year = { 2021 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number29/32112-2021921668/ },
doi = { 10.5120/ijca2021921668 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:19:58.922625+05:30
%A Sadique K.M.
%A Amos R.
%T Real-time Monitoring of Workforce: An approach based on Deep Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 29
%P 13-16
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we monitor real-time workforce attendance. At first, we record the check-in and check-out of the workforce. Next, keep track of their movements at various premises within the organization. Finally alarm the administrator for unauthorized movement. In order to meet these requirements, we extracted state-of-the-art deep learning-based features by utilizing AlexNet. Extensive experiments were conducted on our created dataset. From the experiments it was revealed that extracted features substantially perform better.

References
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  9. AUTHRO'S PROFILE
  10. Sadique K M pursuing his Masters in Computer Applications at Maharaja Institute of Technology Mysore, His research interests include computer vision and machine learning.
  11. Amos R, Assistant Professor, Department of Masters in Computer Applications at Maharaja Institute of Technology Mysore. His research Interests include Computer vision, machine learning, and data science.
Index Terms

Computer Science
Information Sciences

Keywords

Real-time monitoring attendance system unauthorized movement deep learning AlexNet.