An Image Processing Pipeline for Automated Packaging Structure Recognition

Autor:	Dörr, Laura, Brandt, Felix, Pouls, Martin, Naumann, Alexander
Rok vydání:	2020
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Artificial Intelligence Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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. Comment: To be published in: "Forum Bildverarbeitung 2020", KIT Scientific Publishing, Karlsruhe
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2009.13824 Zobrazit plný text záznamu View this record from Arxiv