Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)

<Previous Article In Volume
Next Article In Volume>

AI Enable Efficient Learning: An Edge Intelligence Driven Monocular Lecture Video Recording System

Authors
Rui Wang1, *, Zesen Zou1, Yang Gao1
1Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China
*Corresponding author. Email: wangr@buaa.edu.cn
Corresponding Author
Rui Wang
Available Online 4 September 2023.
DOI
10.2991/978-94-6463-230-9_29How to use a DOI?
Keywords
Lecture video Record; Face Tracking; PTZ Camera; Edge platform; Automatic
Abstract

Currently, smart classrooms in universities generally record live teaching videos based on multiple traditional cameras, which is resource-wasteful and inefficient. To address this problem, this paper presents an edge intelligence driven monocular lecture video recording system based on pan-tilt-zoom (PTZ) components and NVIDIA Jetson TX2. The system uses an AdaBoost-based face detector to identify the teachers’ faces, applies a Siamese network to track them, and employs the PID algorithm to control the PTZ camera for active auto-tracking and recording. Results indicate that our intelligent monocular PTZ video capture device performs effectively in terms of stability, real-time and economy, thus having the potential to benefit both teachers and students.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 September 2023
ISBN
10.2991/978-94-6463-230-9_29
ISSN
2667-128X
DOI
10.2991/978-94-6463-230-9_29How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rui Wang
AU  - Zesen Zou
AU  - Yang Gao
PY  - 2023
DA  - 2023/09/04
TI  - AI Enable Efficient Learning: An Edge Intelligence Driven Monocular Lecture Video Recording System
BT  - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
PB  - Atlantis Press
SP  - 233
EP  - 239
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-230-9_29
DO  - 10.2991/978-94-6463-230-9_29
ID  - Wang2023
ER  -