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  Published Paper Details:

  Paper Title

A STUDENT ATTENDANCE SYSTEM BY DEEP LEARNING TECHNIQUES- A COMPARATIVE STUDY

  Authors

  Ms. Rashmi Atul Hire,  Dr. Pawar U. B.,  Prof. Ramesh P. Daund

  Keywords

Smart Attendance System, CNN, OpenCV, Face recognition.

  Abstract


The main purpose of this project is to build a face recognition-based attendance monitoring system for an educational institution to improve and upgrade the current attendance system to be more effective and efficient than before. The current old system has many ambiguities that caused inaccurate and inefficient attendance taking. Many problems arise when the authority is unable to enforce the regulation existing in the old system. The technology behind this will be a facial recognition system. The human face is one of the natural features that can clearly identify an individual. Therefore, it is used for identity tracking because the possibility of face deviation or its duplication is low. In this project, databases of faces will be created to pump data into a recognition algorithm. Then, during the face-to-face session, the faces will be matched against the database to search for identity. When an individual is identified, their attendance will be automatically downloaded and the necessary information saved in an excel sheet. At the end of the day, an excel sheet is sent to the respective faculty with information on the attendance of all individuals.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2212612

  Paper ID - 229423

  Page Number(s) - f355-f359

  Pubished in - Volume 10 | Issue 12 | December 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Ms. Rashmi Atul Hire,  Dr. Pawar U. B.,  Prof. Ramesh P. Daund,   "A STUDENT ATTENDANCE SYSTEM BY DEEP LEARNING TECHNIQUES- A COMPARATIVE STUDY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 12, pp.f355-f359, December 2022, Available at :http://www.ijcrt.org/papers/IJCRT2212612.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: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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