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  Published Paper Details:

  Paper Title

"ATTENDANCE ENTRY USING FACE RECOGNITION AND RFID"

  Authors

  Dr.Ashwini S Shivannavar,  T Shashikant Vitthal,  Ganesha S,  Likith S,  Manoj K G

  Keywords

Face Recognition, RFID, Raspberry Pi, Attendance System, , Computer Vision, Embedded System, Python, OpenCV, Automation, Real-time Processing, IoT-based Attendance.

  Abstract


In modern educational and organizational environments, accurate and efficient attendance tracking is critical for performance monitoring and security. This project presents a dual-mode attendance entry system that integrates face recognition technology with RFID (Radio-Frequency Identification) to enhance both security and reliability. The system captures and verifies facial features using a camera and facial recognition algorithms, while also validating identity through RFID tags assigned to individuals. By combining these two methods, the system reduces the chances of proxy attendance and improves automation in attendance logging. The proposed solution is scalable, user-friendly, and ensures high accuracy, making it suitable for institutions seeking to modernize their attendance procedures.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2506623

  Paper ID - 289297

  Page Number(s) - f397-f402

  Pubished in - Volume 13 | Issue 6 | June 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.Ashwini S Shivannavar,  T Shashikant Vitthal,  Ganesha S,  Likith S,  Manoj K G,   ""ATTENDANCE ENTRY USING FACE RECOGNITION AND RFID"", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.f397-f402, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506623.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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