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A SURVEY ON FACE RECOGNITION ATTENDANCE SYSTEM USING PYTHON: DESIGN, CHALLENGES AND IMPLEMENTATION

AUTHORS:
Avijit jena
Mentor
Allupati Chakradhar Patro
Affiliation
Gift Autonomous College ,BBSR
DOI: 10.55041/ijsmt.v2i6.082
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract
The Face Recognition Attendance System is developed as a modern web-based application that helps organizations and educational institutions manage and monitor attendance efficiently. The system is designed using Python, Django, OpenCV, and Face Recognition Technology to provide a scalable, secure, and intelligent platform for administrators and users.

The application allows users to register, log in securely, enroll facial data, mark attendance automatically through face recognition, manage user profiles, and monitor attendance records through an interactive dashboard. The frontend interface is designed using HTML, CSS, JavaScript, and Bootstrap to ensure smooth navigation and a user-friendly experience. The backend server is developed using Python and Django for handling requests, authentication, facial recognition processing, and database communication.

SQLite/MySQL is used as the primary database for storing user information, facial encodings, attendance records, and system-related data securely. Django Authentication System is implemented to provide secure login functionality and protected route access.

The system provides efficient attendance management with real-time face detection and recognition, responsive user interaction, and reliable database operations. The application architecture ensures maintainability, scalability, and efficient communication between frontend and backend components.
Keywords
Face Recognition Attendance System Python Django OpenCV Face Recognition Attendance Management SQLite Authentication Web Application Computer Vision.
Article Information
PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 6
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Jun 07 2026
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jena, A. (2026). A Survey on Face recognition Attendance System Using Python: Design, Challenges and Implementation. International Journal of Science, Strategic Management and Technology, 02(6). https://doi.org/10.55041/ijsmt.v2i6.082

jena, Avijit. "A Survey on Face recognition Attendance System Using Python: Design, Challenges and Implementation." International Journal of Science, Strategic Management and Technology, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i6.082.

jena, Avijit. "A Survey on Face recognition Attendance System Using Python: Design, Challenges and Implementation." International Journal of Science, Strategic Management and Technology 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i6.082.

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Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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