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- Vol. 5 Issue 3
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Attention Educosmos: A Smart Classroom Focus and Smartphone Monitoring System
Authors
1 2 3 4 UG Scholars, Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India. 5 Professor, Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India.
Article Information
- Published In
- Volume 5, Issue 3 (2026)
- Published Online
- September-December 2026
- Pages
- 455-459
- Article Type
- Original Article
- Check for updates
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References
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10. Jocher, A. Chaurasia, and J. Qiu, “Ultralytics YOLOv8,” 2023. [Online]. Available: https://github.com/ultralytics/ultralytics
11. T.-Y. Lin et al., "Microsoft COCO: Common objects in context," in Proc. ECCV, 2014, pp. 740–755.
2. W. Wu, H. Peng, and S. Yu, “YuNet: A tiny millisecond-level face detector,” Mach. Intell. Res., vol. 20, no. 5, pp. 656–665, 2023.
3. Schroff, D. Kalenichenko, and J. Philbin, “FaceNet: A unified embedding for face recognition and clustering,” in Proc. IEEE CVPR, 2015,pp. 815–823.
4. D. E. King, “Dlib-ml: A machine learning toolkit,” J. Mach. Learn. Res., vol. 10, pp. 1755–1758, 2009.
5. J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You only look once: Unified, real-time object detection,” in Proc. IEEE CVPR, 2016,pp. 779–788.
6. Chen, G. Zhou, and H. Jiang, “Student behavior detection in the classroom based on improved YOLOv8,” Sensors, vol. 23, no. 20, p. 8385, 2023.
7. Q. Liu, R. Jiang, Q. Xu, et al., “YOLOv8n_BT: Research on classroom learning behavior recognition algorithm based on improved YOLOv8n,” IEEE Access, vol. 12, pp. 36391–36403, 2024.
8. Yang and T. Wang, “SCB-Dataset3: A benchmark for detecting student classroom behavior,” arXiv:2310.02522, 2023.
9. D. Indira, A. Yaseen, C. S. Venkat, D. Supriya, and C. Udayini, “Student mobile usage detection and fine notification system in restricted areas using deep learning techniques,” in Proc. ICoICI, IEEE, 2024, pp. 1413–1420.
10. Jocher, A. Chaurasia, and J. Qiu, “Ultralytics YOLOv8,” 2023. [Online]. Available: https://github.com/ultralytics/ultralytics
11. T.-Y. Lin et al., "Microsoft COCO: Common objects in context," in Proc. ECCV, 2014, pp. 740–755.
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