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.
@article{arxiv.2009.13824,
title = {An Image Processing Pipeline for Automated Packaging Structure Recognition},
author = {Laura Dörr and Felix Brandt and Martin Pouls and Alexander Naumann},
journal= {arXiv preprint arXiv:2009.13824},
year = {2020}
}
Comments
To be published in: "Forum Bildverarbeitung 2020", KIT Scientific Publishing, Karlsruhe