Real-time Monitoring of Workforce: An approach based on Deep Features
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10.5120/ijca2021921668 |
Sadique K.M. and Amos R.. Real-time Monitoring of Workforce: An approach based on Deep Features. International Journal of Computer Applications 183(29):13-16, October 2021. BibTeX
@article{10.5120/ijca2021921668,
author = {Sadique K.M. and Amos R.},
title = {Real-time Monitoring of Workforce: An approach based on Deep Features},
journal = {International Journal of Computer Applications},
issue_date = {October 2021},
volume = {183},
number = {29},
month = {Oct},
year = {2021},
issn = {0975-8887},
pages = {13-16},
numpages = {4},
url = {http://www.ijcaonline.org/archives/volume183/number29/32112-2021921668},
doi = {10.5120/ijca2021921668},
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, 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
- Kavita and Manjeet Kaur, A survey paper for face recognition. International Journal of Scientific and Research Publications, Volume 6, Issue 7, July 2016.
- Baback Moghaddam. Principal Manifolds and Probabilistic Subspaces for Visual Recognition. IEEE Transactions on pattern analysis and machine intelligence, vol 24, no 6, 2002.
- S. S. Thokal1, Aarti N. Bhosale et al. Smart Ration Card with RFID, Biometrics and Sensors. International Journal of Computer Sciences and Engineering. Vol 6, 5, 2019.
- Shaily Pandey, and Sandeep Sharma. An Optimistic Approach for Implementing Viola Jones Face Detection Algorithm in Database System and in Real Time. International Journal of Engineering Research & Technology (IJERT) . Vol. 4 Issue 07, July-2015
- Rafael Gonzalez and Richard Woods. Digital Image Processing. Pearson, print, 2017
- Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. Image Net Classification with Deep Convolutional Neural Networks. Communications of the ACM Volume: 60, Issue: 6, pp 84-90
- Mohammed Idrees Bhat, Sharada B, Sk. Md Obaidullah and Mohammed Imran.17th International Conference on frontiers in Handwriting Recognition (ICFR) PP-234-239-2020.
- Mohammad Idrees Bhat and B. Sharada. Automatic Recognition of Legal Amounts on Indian Bank Cheques: A Fusion-Based Approach at Feature and Decision Levels. International Journal of Computer Vision and Image Processing (IJCVIP) Vol. 10 Issue 4 pp-57-73.
- AUTHRO'S PROFILE
- Sadique K M pursuing his Masters in Computer Applications at Maharaja Institute of Technology Mysore, His research interests include computer vision and machine learning.
- 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.
Keywords
Real-time monitoring, attendance system, unauthorized movement, deep learning, AlexNet.