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Teaching real-time video processing theory by using an FPGA-based educational system and the “learning-by-doing” method

Abstract:

In the present study, we introduce a FPGA-based educational system called RELI-EVA (REconfigurable-Logic-based system for Implementation and Evaluation of real-time Video processing and analysis of Algorithms), which has been integrated into a Computer and Electronic Engineering course by following the “learning-by-doing” approach. Therefore, the aim of this system is to provide engineering students with an intuitive tool in order to understand the main algorithms for real-time video processing and create and test some new algorithms before their real implementation in physical systems. Moreover, with the aim of demonstrating the potential of the developed FPGA-based system, the development of a practical example for edge detection is presented in order to support the theoretical basis of real-time video processing. Additionally, a qualitative research method was followed to evaluate the proposed tool. A high percentage of the surveyed students corroborated the success of RELI-EVA as part of an engineering course. © 2017 Wiley Periodicals, Inc. Comput Appl Eng Educ 25:376–391, 2017; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21805.