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arXiv · 2009.13824

An Image Processing Pipeline for Automated Packaging Structure Recognition

Laura Dörr·Felix Brandt·Martin Pouls·Alexander Naumann
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Abstract

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 real-world data. Further, we discuss our algorithmic choices.

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Laura Dörr, Felix Brandt, Martin Pouls, Alexander Naumann. 2020-09-29. An Image Processing Pipeline for Automated Packaging Structure Recognition. https://arxiv.org/abs/2009.13824

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