Related papers: An Image Processing Pipeline for Automated Packaging Structure Recognition

An Image Processing Pipeline for Automated Packaging Structure Recognition

URL: http://arxiv.org/abs/2009.13824v1
Date: Tue, 29 Sep 2020 07:26:08 GMT
Title: An Image Processing Pipeline for Automated Packaging Structure Recognition
Authors: Laura D\"orr, Felix Brandt, Martin Pouls, Alexander Naumann
Abstract summary: 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.
Score: 60.56493342808093
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
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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