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Raspberry Pi for image processing education
- Source :
- 2017 25th European Signal Processing Conference (EUSIPCO), 2017 25th European Signal Processing Conference (EUSIPCO), Aug 2017, Kos, Greece. pp.2364-2366, ⟨10.23919/EUSIPCO.2017.8081633⟩, EUSIPCO
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- This paper firstly describes the development and evaluation of a project course which yields university students building a complete hardware and software chain for a digital image processing application. To arouse the interest and learning initiative of students, we propose them to build a setup including a Raspberry Pi® and image processing programmes. This inexpensive single board computer answers today's issues in energy saving and permits to review fundamental hardware and software principles. Secondly, we propose a low-cost setup for a time-limited practical work: a Raspberry Pi® is shared and controlled remotely by several student pairs: we emphasize the interest of collaborative work, and we provide knowledge and skills about micro-computers to a large number of students simultaneously.
- Subjects :
- Multimedia
Computer science
business.industry
4. Education
05 social sciences
050301 education
Image processing
02 engineering and technology
computer.software_genre
Raspberry pi
Software
Work (electrical)
Single-board computer
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Digital image processing
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
business
0503 education
computer
ComputingMilieux_MISCELLANEOUS
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 2017 25th European Signal Processing Conference (EUSIPCO), 2017 25th European Signal Processing Conference (EUSIPCO), Aug 2017, Kos, Greece. pp.2364-2366, ⟨10.23919/EUSIPCO.2017.8081633⟩, EUSIPCO
- Accession number :
- edsair.doi.dedup.....201163e5ff2860748e6744ce1b552c5b
- Full Text :
- https://doi.org/10.23919/EUSIPCO.2017.8081633⟩