Abstract
The main purposes of this paper are to offer a low-cost solution that can be used in engineering education and to address the challenges that Industry 4.0 brings with it. In recent years, there has been a great shortage of engineering experts, and therefore it is necessary to educate the next generation of experts, but the hardware and software tools needed for education are often expensive and access to them is sometimes difficult, but most importantly, they change and evolve rapidly. Therefore, the use of cheaper hardware and free software helps to create a reliable and suitable environment for the education of engineering experts. Based on the overview of related works dealing with low-cost teaching solutions, we present in this paper our own low-cost Education Kit, for which the price can be as low as approximately EUR 108 per kit, for teaching the basic skills of deep learning in quality-control tasks in inspection lines. The solution is based on Arduino, TensorFlow and Keras, a smartphone camera, and is assembled using LEGO kit. The results of the work serve as inspiration for educators and educational institutions.
Highlights
Experts in a number of academic and practical fields are required in today’s industry
Our illustrative and easy-to-modify Education Kit offers the student a variety of options for solving different tasks of machine vision with support of deep learning that can be simulated in the productionn proocceessss, iinncclluuddiinngg::
The results that can be achieved with our Education Kit, despite its simplicity, correspond in both tasks, as can be seen in Table 3—Area Under the ROC Curve (AUC) scores Electronics 2022, 10, x FOR PEER REaVnIEdWFigure 13—Receiver Operating Characteristic (ROC) curves and Figure 14—1c5oonffu21sion matrices, to a very accurate prediction
Summary
Experts in a number of academic and practical fields are required in today’s industry. Companies and higher education institutions recognize a need to teach employees digital skills and basic programming [2] as a result of new trends and the new capabilities demanded by the labour market [3]. Higher education has become more competitive between institutions and countries, and European universities have modified their teaching techniques [4] in order to create increasingly skilled workers in many fields of knowledge [2]. Industry 4.0 brings opportunities to achieve these requirements. Among other things, it represents a major advance in process automation and optimization and the digitalization of data collection [5,6]
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