Optimization of manipulation logistics using data matrix codes

• Autorzy: Pivarčiová Elena , Karrach Ladislav , Tučková Zuzana

Identyfikatory

DOI

10.12913/22998624/94961

• Języki publikacji: EN

Abstrakty

EN

In the paper we deal with optimization of manipulation logistics using Data Matrix codes. Our goal is scanning and decoding Data Matrix codes in real-time. We have designed and verified an efficient computer aided method for location of the Data Matrix codes. This method is also suited to real-time processing and has been verified on a test set of images taken from real industrial world. We have proposed a modified, computationally efficient local thresholding technique that uses local mean and variation under the sliding window. The proposed Data Matrix code localization algorithm utilizes the connecting of the adjoining points into the continuous regions and determining of the boundaries of the outer region and it works in two basic steps: localization of the Finder Pattern and verification of the Timing Pattern. Part of the algorithm deals also with the decoding of the Data Matrix code using external libraries. Data Matrix codes can be used to mark logistic units, parts, warehousing positions, but also for automated robot navigation. Because of their low cost, accuracy, speed, reliability, flexibility and efficiency, as well as the ability to write large amounts of data on a small area, they still have a great advantage in logistics.

Słowa kluczowe

EN

Data Matrix; logistics; localization; Finder Pattern; Timing Pattern

PL

Data Matrix; logistyka; lokalizacja; wzór wyszukiwania; wzorzec czasu

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2018
• Tom: Vol. 12, no 3
• Strony: 173--180
• Opis fizyczny: Bibliogr. 25., fig.

Twórcy

autor

Pivarčiová Elena

• Technical University in Zvolen, Masarykova 24, 960 53 Zvolen, Slovakia

autor

Karrach Ladislav

• Technical University in Zvolen, Masarykova 24, 960 53 Zvolen, Slovakia

autor

Tučková Zuzana

• Tomas Bata University in Zlín, Department of Logistics, Faculty of Logistics and Crisis Management, Studentské nám. 1532, 686 01 Uherské Hradiště, Czech Republic

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).