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Original Article

Smart Attendance System Using Face Recognition and Gaze-Based Attention Monitoring

  • Paper ID 1030
  • Volume 7, Issue 1
  • Pages 65-75
  • Published Online: January-February 2026
  • 31 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Abubakkar Sithik M1
  • Gowrish N2
  • Kiran C3
  • Chaitra4
  • Abhishek5

1 Assistant Professor, Department of CSE, Raja Rajeswari college of Engineering, Bengaluru, Karnataka, India. 2 3 4 5 Department of CSE, Raja Rajeswari college of Engineering, Bengaluru, Karnataka, India.

Article Information

Published Online
January-February 2026
Pages
65-75
Article Type
Original Article
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References

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2020.
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112356, 2021.
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Machine Systems, vol. 49, no. 4, pp. 345–356, 2019.
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CVPR, 2001, pp. 511–518.
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9. A. George and A. Routray, “A Real-Time Eye Gaze Direction Classification Using Webcam,” in Proc. IEEE
International Conference on Signal Processing and Communications, 2016.
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Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 4–20, 2004.
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Magazine, vol. 31, no. 3, pp. 56–63, 2014.
13. Google Research, “MediaPipe Face Mesh: Real-Time Face Landmark Detection,” 2020. [Online].
Available: https://google.github.io/mediapipe/
14. OpenCV Team, “OpenCV: Open Source Computer Vision Library,” 2022. [Online]. Available: https://opencv.org
15. Twilio Inc., “Programmable SMS API Documentation,” 2022. [Online]. Available: https://www.twilio.com/docs/sms
16. R. Girshick et al., “Rich Feature Hierarchies for Accurate Object Detection,” IEEE CVPR, 2014.
17. T. Hassner et al., “Effective Face Frontalization in Uncon-strained Images,” IEEE CVPR, 2015.
18. A. Krizhevsky et al., “ImageNet Classification with Deep CNNs,” Neural Information Processing Systems, 2012.
19. Z. Zhang, “A Flexible New Technique for Camera Calibration,” IEEE TPAMI, vol. 22, no. 11, 2000.
20. Y. Sun et al., “Deep Learning Face Representation by Joint Identification-Verification,” IEEE NIPS, 2014.
21. IEEE Standards Association, “Ethically Aligned Design for AI Systems,” IEEE, 2019.
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