System for automatic crate recognition

Radovan Kukla, Jiří Šťastný and Jan Kolomazník
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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

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2012, vol. 60, issue 2, 151-156

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.

Keywords: computer vision; artificial intelligence; Neural networks; VisionLab; WebControl (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:mup:actaun:actaun_2012060020151

DOI: 10.11118/actaun201260020151

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