Development of a low cost machine vision based quality control system for a learning factory

被引:11
作者
Louw, Louis [1 ]
Droomer, Marli [1 ]
机构
[1] Stellenbosch Univ, Ind Engn Dept, Joubert St, ZA-7600 Stellenbosch, South Africa
来源
RESEARCH. EXPERIENCE. EDUCATION. | 2019年 / 31卷
关键词
Machine vision; Quality control; Learning Factory; Digitilisation; DESIGN; EDUCATION; FUTURE;
D O I
10.1016/j.promfg.2019.03.042
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Learning Factories provide a promising environment for developing the competencies required from a future workforce to apply and integrate technologies associated with digitalised production environments and cyber-physical systems. This paper describes a student project for the development and implementation of a low cost machine vision based quality control system within a Learning Factory. A prototype system was developed using low cost hardware and open source software freely available. The system will be used towards further research and development of more intelligent manufacturing systems within the Learning Factory, based on machine vision. A second benefit was student competency development through self-learning and experimentation. It serves to illustrate how the education as well as research goals of a Learning Factory can be addressed simultaneously through student projects. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码:264 / 269
页数:6
相关论文
共 15 条
[1]   Learning factories for future oriented research and education in manufacturing [J].
Abele, Eberhard ;
Chryssolouris, George ;
Sihn, Wilfried ;
Metternich, Joachim ;
ElMaraghy, Hoda ;
Seliger, Guenther ;
Sivard, Gunilla ;
ElMaraghy, Waguih ;
Hummel, Vera ;
Tisch, Michael ;
Seifermann, Stefan .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2017, 66 (02) :803-826
[2]   Engineering design processes: A comparison of students and expert practitioners [J].
Atman, Cynthia J. ;
Adams, Robin S. ;
Cardella, Monica E. ;
Turns, Jennifer ;
Mosborg, Susan ;
Saleem, Jason .
JOURNAL OF ENGINEERING EDUCATION, 2007, 96 (04) :359-379
[3]   Doing with understanding: Lessons from research on problem- and project-based learning [J].
Barron, BJS ;
Schwartz, DL ;
Vye, NJ ;
Moore, A ;
Petrosino, A ;
Zech, L ;
Bransford, JD .
JOURNAL OF THE LEARNING SCIENCES, 1998, 7 (3-4) :271-311
[4]   Tangible Industry 4.0: a scenario-based approach to learning for the future of production [J].
Erol, Selim ;
Jaeger, Andreas ;
Hold, Philipp ;
Ott, Karl ;
Sihn, Wilfried .
6TH CIRP CONFERENCE ON LEARNING FACTORIES, 2016, 54 :13-18
[5]  
Foidl H., 2016, LECT NOTES BUSINESS
[6]   Visual quality detection of aquatic products using machine vision [J].
Hong, Hanmei ;
Yang, Xiaoling ;
You, Zhaohong ;
Cheng, Fang .
AQUACULTURAL ENGINEERING, 2014, 63 :62-71
[7]  
Nandini V., 2016, INDIAN J SCI TECHNOL, V9, P1, DOI [10.17485/ijst/2016/v9i48/108433, DOI 10.17485/iist/2016/v9i48/108433]
[8]  
Perveen N., 2013, IJRCCT, V2, P988
[9]   Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet [J].
Posada, Jorge ;
Toro, Carlos ;
Barandiaran, Inigo ;
Oyarzun, David ;
Stricker, Didier ;
de Amicis, Raffaele ;
Pinto, Eduardo B. ;
Eisert, Peter ;
Doellner, Jurgen ;
Vallarino, Ivan, Jr. .
IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2015, 35 (02) :26-40
[10]   Digital Transformation of Engineering Education Empirical Insights from Virtual Worlds and Human-Robot-Collaboration [J].
Richert, Anja ;
Shehadeh, Mohammad ;
Willicks, Freya ;
Jeschke, Sabina .
INTERNATIONAL JOURNAL OF ENGINEERING PEDAGOGY, 2016, 6 (04) :23-29