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Face Recognition based smart attendance system using IOT

Sakshi Patel1 , Prateek Kumar2 , Shelesh Garg3 , Ravi Kumar4

  1. Department of ECE, Jaypee University of Engineering and Technology, Madhya Pradesh, India.
  2. Department of ECE, Jaypee University of Engineering and Technology, Madhya Pradesh, India.
  3. Department of ECE, Jaypee University of Engineering and Technology, Madhya Pradesh, India.
  4. Department of ECE, Jaypee University of Engineering and Technology, Madhya Pradesh, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 871-877, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.871877

Online published on May 31, 2018

Copyright © Sakshi Patel, Prateek Kumar, Shelesh Garg, Ravi Kumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sakshi Patel, Prateek Kumar, Shelesh Garg, Ravi Kumar, “Face Recognition based smart attendance system using IOT,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.871-877, 2018.

MLA Style Citation: Sakshi Patel, Prateek Kumar, Shelesh Garg, Ravi Kumar "Face Recognition based smart attendance system using IOT." International Journal of Computer Sciences and Engineering 6.5 (2018): 871-877.

APA Style Citation: Sakshi Patel, Prateek Kumar, Shelesh Garg, Ravi Kumar, (2018). Face Recognition based smart attendance system using IOT. International Journal of Computer Sciences and Engineering, 6(5), 871-877.

BibTex Style Citation:
@article{Patel_2018,
author = {Sakshi Patel, Prateek Kumar, Shelesh Garg, Ravi Kumar},
title = {Face Recognition based smart attendance system using IOT},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {871-877},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2080},
doi = {https://doi.org/10.26438/ijcse/v6i5.871877}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.871877}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2080
TI - Face Recognition based smart attendance system using IOT
T2 - International Journal of Computer Sciences and Engineering
AU - Sakshi Patel, Prateek Kumar, Shelesh Garg, Ravi Kumar
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 871-877
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

Attendance is a compulsory requirement of every organization. Maintaining attendance register daily is a difficult and time consuming task. There are many automated methods for the same available like Biometric, RFID, eye detection, voice recognition, and many more. This paper provides an efficient and smart method for marking attendance. As it is known that primary identification for any human is its face, face recognition provides an accurate system which overcomes the ambiguities like fake attendance, high cost, and time consumption. This system uses face recognizer library for facial recognition and storing attendance. The absentee’s supervisor or parents are informed through email regarding the absence of their employees or wards respectively. The objective of this project is to innovate existing projects with some added feature like large data storage and fast computing through less hardware cost.

Key-Words / Index Term

Smart attendance system, Raspberry pi3, OpenCV, Face_Recognition, SMTP

References

[1] Charles A. Walton, electronic identification & recognition system Filed: Dec. 27, 1971 Appl. No.: 212,281.
[2] Michael Dobson, Douglas Ahlers, Bernie DiDario, “Attendance Tracking System", United States Patent Application Publication, Pub. No.: US 2006/0035205 A1, Feb.16, 2006.
[3] O. Shoewu and O.A. Idowu, “Development of Attendance Management System using Biometrics ", The Pacific Journal of Science and Technology, Vol. 13, Number1, pp.300-307, May 2012 (Spring).
[4] L. Sirovich and M. Kirby (1987). "Low-dimensional procedure for the characterization of human faces". Journal of the Optical Society of America A 4: 519–524.
[5] M.Turk and A. Pentland, "Eigenfaces for Recognition", Journal of Cognitive Neuroscience, March 1991.
[6] Viola, P., & Jones, M. (2001). Rapid object detection using a boosted cascade of simple features. In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on (Vol. 1, pp. I-511).
[7] C. Papageorgiou, M. Oren, and T. Poggio. A general framework for object detection. In International Conference on Computer Vision, 1998.
[8] Automated attendance management system based on face recognition algorithms Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference.
[9] Robust 3D Face Recognition. International Journal of Computer Sciences and Engineering (IJCSE), 2015 Volume-3, Issue-5 E-ISSN: 2347-2693
[10] Monitoring Driver Distraction in Real Time using Computer Vision System. International Journal of Computer Sciences and Engineering (IJCSE),2017Volume-5, Issue-6, E-ISSN: 2347-2693