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System for automatic crate recognition

Author

Listed:
  • Radovan Kukla

    (Ústav informatiky, Mendelova univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republika)

  • Jiří Šťastný

    (Ústav informatiky, Mendelova univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republika)

  • Jan Kolomazník

    (Ústav informatiky, Mendelova univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republika)

Abstract

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.

Suggested Citation

  • Radovan Kukla & Jiří Šťastný & Jan Kolomazník, 2012. "System for automatic crate recognition," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(2), pages 151-156.
    • Handle: RePEc:mup:actaun:actaun_2012060020151
    DOI: 10.11118/actaun201260020151
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