Smart Attendance System

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Year : June 14, 2024 at 3:03 pm | [if 1553 equals=””] Volume :01 [else] Volume :01[/if 1553] | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : 02 | Page : 12-17

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Sumit Kumar Singh, Diksha Kumari, Ankur Singh, Anjali Mathur, Sameer Awasthi

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  1. Student, Student, Student, Student, Head of department Department of Computer Science and (Artificial Intelligence), Bansal Institute of Engineering & Technology, Lucknow, Department of Computer Science and (Artificial Intelligence), Bansal Institute of Engineering & Technology, Lucknow, Department of Computer Science and (Artificial Intelligence), Bansal Institute of Engineering & Technology, Lucknow, Department of Computer Science and (Artificial Intelligence), Bansal Institute of Engineering & Technology, Lucknow, Department of Computer Science and (Artificial Intelligence), Bansal Institute of Engineering & Technology, Lucknow Uttar Pradesh, Uttar Pradesh, Uttar Pradesh, Uttar Pradesh, Uttar Pradesh India, India, India, India, India
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Abstract

nOur attendance is made more sophisticated and self-controlled by using “the smart attendance system (SAS),” which is the topic of this paper. It has an innovative QR scanner technology that makes the process accurate and simple. The system operates efficiently, saving us time and requiring less labor to maintain attendance. Previous versions of the monitoring system had problems locating students and required a tedious manual attendance method. Thanks to developments in technology, it is now easier to monitor students by integrating automated technologies with the monitoring system. Radio Frequency Identification (RFID) technology is an automated method that enhances the present conventional method of student monitoring Due to the unique ID on each tag, it is simple to identify each tag holder. Furthermore, a Graphical User Interface (GUI) offers an even more effective means of verifying attendance. Consequently, the automatic system created by merging RFID technology and a graphical user interface (GUI) with an attendance system will outperform the conventional approach to student monitoring in terms of efficacy and efficiency. The system provides accurate and efficient attendance management by utilizing a QR scanner. It is a dependable and practical method for managing and monitoring attendance in a range of contexts. In addition to providing precise student information, our QR scanner lowers proxy attendance. This intelligent attendance solution streamlines our administrative tasks, increases overall effectiveness, and provides real-time access to data, analysis, and reporting. In addition to automating the recording of attendance, the intelligent attendance system offers actual insight that supports thoughtful decision-making.

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Keywords: smart attendance system, scanner recognition, database, QR, Biometric, RFID.

n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Radio Frequency Innovations(ijrfi)]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in International Journal of Radio Frequency Innovations(ijrfi)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article: Sumit Kumar Singh, Diksha Kumari, Ankur Singh, Anjali Mathur, Sameer Awasthi. Smart Attendance System. International Journal of Radio Frequency Innovations. April 28, 2024; 01(02):12-17.

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How to cite this URL: Sumit Kumar Singh, Diksha Kumari, Ankur Singh, Anjali Mathur, Sameer Awasthi. Smart Attendance System. International Journal of Radio Frequency Innovations. April 28, 2024; 01(02):12-17. Available from: https://journals.stmjournals.com/ijrfi/article=April 28, 2024/view=0

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References

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Review Article

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Volume 01
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 02
Received April 11, 2024
Accepted April 19, 2024
Published April 28, 2024

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