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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM3981

FACE RECOGNITION BASED ATTENDANCE SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM3981

Volume:

4 |

5 |

May 2020

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MYK

Ms. Yashaswini KA

WA

Waeez Ahmed

SN

Shreya Narayanan

YK

Yogesh Kakran

SS

S.Goutham Shravan

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Abstract

Attendance marking is a very essential task for faculty today in schools and colleges. It takes a lot of time if the faculty is going to take attendance manually. As a result, we’ve been relying on technology. This will help tremendously in demonstrating the quality of our education system. Physically having to take attendance comes with a lot of effort and time. The attendance sheet can extremely be boring work for the faculty to maintain and it took a lecture time as well. A smart computerized attendance system can be useful in managing the attendance of the students. It will assist in reporting the biometric ways. Face recognition technology is one of a kind and probably the most renowned of this day and age. It replaces the old typical sheets using this new technology. This Model Can Be Used To Crack The Problem Of Forged Attendance And Proxy. In the previous system, students simply card in and then skip classes. The proposed work monitored students’ real-time attendance. Proposed work will explain the effective algorithm for marking attendance itself without any human interference. Face detection and recognition becomes the most crucial step of this system. As we can compare the attending method which we have seen up to now and currently proposed system then we can say that, the current system is effective in monitoring attendance of students properly. It will be true assistance to keep the attendance and assist to faculty for record the students.

KEYWORDS

– Deep Learning Automation Attendance System Face Recognition Image Processing

Cite This Article

Ms. Yashaswini KA, Waeez Ahmed, Shreya Narayanan, Yogesh Kakran, S.Goutham Shravan, "FACE RECOGNITION BASED ATTENDANCE SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 4, no. 5, May 2020.

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Publication Date

11/21/2024

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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