Back to Search Start Over

Raspberry Pi for image processing education

Authors :
Salah Bourennane
Julien Marot
Institut FRESNEL (FRESNEL)
Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)
GSM (GSM)
Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)
Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)
Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)
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.

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⟩