AI Enable Efficient Learning: An Edge Intelligence Driven Monocular Lecture Video Recording System
- 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.
Cite this article
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 -