UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2305332


Registration ID:
515163

Page Number

d228-d232

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Title

Effortless Attendance Tracking with Object Detection and Bluetooth Low Energy

Abstract

Bluetooth Low Energy (BLE) technology has revolutionized the way devices communicate wirelessly over short distances. BLE has found its application in many fields, and one such innovative use case is the Automatic Attendance System. This system is a game-changer in the educational sector as it allows for the efficient tracking of student attendance. The Automatic Attendance System consists of two main components, a Bluetooth card, and a BLE receiver. Every student is provided with a Bluetooth card that is attached to their mobile phone, and a BLE receiver is installed in every classroom. When a student enters the classroom, the BLE receiver detects the Bluetooth MAC ID of their phone and automatically records their attendance in a local database. This process is completely automated and requires no manual intervention, making it a hassle-free experience for both students and teachers. The system also provides real-time attendance monitoring, which means that teachers can keep track of the attendance of their students as it happens. This feature eliminates the need for manual attendance-taking, freeing up valuable time for teachers to focus on more important tasks. Additionally, the system generates reports that can be emailed to faculty members for further analysis. These reports can help faculty members identify patterns in attendance and devise strategies to improve attendance rates. The Automatic Attendance System is a cost-effective solution that can benefit educational institutions of all sizes. By leveraging the power of BLE technology, this system can efficiently track student attendance, save time, and improve the overall educational experience. Moreover, the system can be further enhanced by integrating artificial intelligence systems into the cloud database. This integration would allow for additional features such as facilitating OD and Outpass requests for students, making the system even more versatile and useful.

Key Words

IoT , Attendance system , Artificial Intelligence , BLE.

Cite This Article

"Effortless Attendance Tracking with Object Detection and Bluetooth Low Energy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.d228-d232, May-2023, Available :http://www.jetir.org/papers/JETIR2305332.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Effortless Attendance Tracking with Object Detection and Bluetooth Low Energy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppd228-d232, May-2023, Available at : http://www.jetir.org/papers/JETIR2305332.pdf

Publication Details

Published Paper ID: JETIR2305332
Registration ID: 515163
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: d228-d232
Country: Coimbatore, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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