Acta Univ. Agric. Silvic. Mendelianae Brun. 2012, 60(2), 151-156 | DOI: 10.11118/actaun201260020151

System for automatic crate recognition

Radovan Kukla, Jiří ©»astný, Jan Kolomazník
Ústav informatiky, Mendelova univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republika

This contribution describes usage of computer vision and artificial intelligence methods for application. The method solves abuse of reverse vending machine. This topic has been solved as innovation voucher for the South Moravian Region. It was developed by Mendel university in Brno (Department of informatics - Faculty of Business and Economics and Department of Agricultural, Food and Environmental Engineering - Faculty of Agronomy) together with the Czech subsidiary of Tomra. The project is focused on a possibility of integration industrial cameras and computers to process recognition of crates in the verse vending machine. The aim was the effective security system that will be able to save hundreds-thousands financial loss. As suitable development and runtime platform there was chosen product ControlWeb and VisionLab developed by Moravian Instruments Inc.

Keywords: computer vision, artificial intelligence, Neural networks, VisionLab, WebControl

Received: November 30, 2011; Published: October 3, 2013  Show citation

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Kukla, R., ©»astný, J., & Kolomazník, J. (2012). System for automatic crate recognition. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 60(2), 151-156. doi: 10.11118/actaun201260020151
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    References

    1. ©KORPIL, V., ©«ASTNÝ, J., 2009: Comparison Methods for Object Recognition. In Proceedings of the 13th WSEAS International Conference on Systems. Rhodos, GREECE. s. 607-610. ISBN 978-960-474-097-0.
    2. ©«ASTNÝ, J., 2006: Netradiční metody a algoritmy pro rozpoznávání objektů technologické scény. Vědecké spisy VUT v Brně, edice habilitační a inaugurační spisy, č. 198, s. 1-30. ISSN 1213-418X.
    3. KOPRDA, ©., BALOGH, Z., TURČÁNI, M., 2011: Modeling and comparison of fuzzy PID controller with PSD regulation in the discrete systems. INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING. ISSN 1998-4464, Vol. 5, Issue 5, pp. 496-504.
    4. ©KORPIL,V., ©«ASTNÝ, J., 2005: Neural Networks Learning Methods Comparison. WSEAS Transactions on Circuits and Systems, č. 4, s. 325-330, ISSN 1109-2734.
    5. PROCHÁZKA, D., KOUBEK, T., 2011: Augmented Reality Implementation Methods in Mainstream Applications, Acta Universitatis agriculturae et silviculturae Mendelianae Brunensis: 2011. sv. LIX, č. 4, s. 257-266, ISSN 1211-8516. DOI: 10.11118/actaun201159040257 Go to original source...
    6. PROCHÁZKA, D., ©TENCL, M., POPELKA, O., ©«ASTNÝ, J., 2011: J. Mobile Augmented Reality Applications. In: MENDEL 2011, 17th International Conference on Soft Computing. Brno University of Technology, 2011, p. 469-476, ISBN 978-80-214-4302-0.
    7. FEJFAR, J., MOTYČKA, A., FILÍPEK, ©., 2011: Algorithms for Time Series Comparison. In Recent Research in Applied Informatics. Prague: WSEAS Press, 2011, ISBN 978-1-61804-034-3.

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