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  Published Paper Details:

  Paper Title

Attendance System Using Facial Recognition

  Authors

  Mayur Jain,  Samarth Naphade,  Rohit Virani,  Sagar Dhoot,  Tushar Rane

  Keywords

Facial Recognition, Automation, Attendance

  Abstract


The real-time attendance management system is an innovative solution designed to record the attendance of individual students during lectures without physical contact, making it particularly relevant in a post-COVID world. By utilizing multiple camera angles strategically positioned within the classroom, the system captures a comprehensive view of the lecture space. Advanced face recognition technology analyzes real-time video feeds, identifying and matching student faces with a pre-registered database. This ensures accurate attendance recording in real time, eliminating the need for manual roll calls. Attendance data is securely stored in a centralized database, enabling easy retrieval and analysis. The system offers an intuitive user interface for students and instructors, providing access to attendance records, notifications, and reporting. Data security measures, including encryption and adherence to privacy regulations, ensure the protection of sensitive information. The system can be integrated with existing educational platforms and scaled to accommodate different classroom sizes and institutions. It offers benefits such as contactless attendance tracking, time savings, and improved transparency. Overall, the real-time attendance management system enhances safety, efficiency, and effectiveness in attendance management processes within educational institutions.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2305884

  Paper ID - 237537

  Page Number(s) - h223-h227

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Mayur Jain,  Samarth Naphade,  Rohit Virani,  Sagar Dhoot,  Tushar Rane,   "Attendance System Using Facial Recognition", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.h223-h227, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305884.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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