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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM22436

Attendance Through Face Recognition

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM22436

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
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

RS

Rohit Sharma

SS

Shivam Srivastava

DS

Dr.Nidhi Saxena

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Abstract

Face recognition technology is essential in today’s digital world and is used in practically every industry. One of the most common types of biometrics is face recognition. It has numerous advantages and can be used for security, identification, and authentication. Even though it performs less accurately than iris and fingerprint identification, it is nonetheless commonly utilized since the method is non-intrusive and contactless. Additionally, the facial recognition technology can be utilized in businesses, schools, colleges, and other places to track attendance. The goal of this system is to create a facial recognition-based class attendance system because the current manual attendance method is time-consuming and difficult to maintain. Additionally, there’s a potential that a proxy will show up. Consequently, the demand for this system rises. Accuracy, effectiveness, and simplicity are just a few benefits of this project. By doing away with manual attendance monitoring, it lessens the possibility of mistakes and manipulation. It offers real-time attendance monitoring, enabling prompt management and intervention. The method is adaptable and simple to implement into a variety of environments, including companies, events, and schools.

KEYWORDS

Face Recognition Histogram of Oriented Gradients Attendance System Real time Database

Cite This Article

Rohit Sharma, Shivam Srivastava, Dr.Nidhi Saxena, "Attendance Through Face Recognition," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM22436

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Publication Date

5/31/2023

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Double-Blind Peer Review

Review Rounds: 2

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0

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5

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Conflict of Interest

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

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No funding information available for this research.

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