Raspberry Pi for image processing education

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.

[1]  Patrick A. Naylor,et al.  The SAS project: Speech signal processing in high school education , 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

[2]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[3]  J. Sobota,et al.  Raspberry Pi and Arduino Boards in Control Education , 2013, ACE.

[4]  Anibal C. Matos,et al.  Raspberry PI based stereo vision for small size ASVs , 2013, 2013 OCEANS - San Diego.

[5]  Md. Kawser Jahan Raihan,et al.  Raspberry Pi Image Processing based Economical Automated Toll System , 2013 .

[6]  Carlos García,et al.  Hardware implementation of machine vision systems: image and video processing , 2013, EURASIP J. Adv. Signal Process..

[7]  Akinori Nishihara,et al.  Developing an Algorithm Learning Tool for High School Introductory Computer Science , 2015 .

[8]  Matthijs C. Dorst Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[9]  V. Sathish Kumar,et al.  EMBEDDED IMAGE CAPTURING SYSTEM USING RASPBERRY PI SYSTEM , 2014 .

[10]  Peter Jamieson,et al.  More missing the Boat — Arduino, Raspberry Pi, and small prototyping boards and engineering education needs them , 2015, 2015 IEEE Frontiers in Education Conference (FIE).

[11]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[12]  Ambigapathy Pandian,et al.  Check This Word out! Exploring the Factors That Affect Students' Vocabulary Learning Using Smartphones Via Partial Least Squares , 2014 .