An Image Processing Pipeline for AutomatedPackaging Structure Recognition
Laura Dörr, Felix Brandt, Martin Pouls, Alexander Naumann
Kapitel/Beitrag aus dem Buch: Heizmann M. & Längle T. 2020. Forum Bildverarbeitung 2020.
Part of
Kapitel/Beitrag aus dem Buch: Heizmann M. & Längle T. 2020. Forum Bildverarbeitung 2020.
Dispatching and receiving logistics goods, as well
as transportation itself, involve a high amount of manual efforts.
The transported goods, including their packaging and
labeling, need to be double-checked, verified or recognized
at many supply chain network points. These processes hold
automation potentials, which we aim to exploit using computer
vision techniques. More precisely, we propose a cognitive
system for the fully automated recognition of packaging
structures for standardized logistics shipments based on single
RGB images. Our contribution contains descriptions of
a suitable system design and its evaluation on relevant realworld
data. Further, we discuss our algorithmic choices.
Dörr, L et al. 2020. An Image Processing Pipeline for AutomatedPackaging Structure Recognition. In: Heizmann M. & Längle T (eds.), Forum Bildverarbeitung 2020. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000124383-19
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Veröffentlicht am 25. November 2020