Please use this identifier to cite or link to this item:
https://doi.org/10.15480/882.3122
Publisher URL: | https://www.epubli.de/shop/buch/Data-Science-and-Innovation-in-Supply-Chain-Management-Wolfgang-Kersten-9783753123462/106047 | Title: | A first step towards automated image-based container inspections | Language: | English | Authors: | Klöver, Steffen Kretschmann, Lutz Jahn, Carlos |
Editor: | Kersten, Wolfgang Blecker, Thorsten Ringle, Christian M. ![]() |
Keywords: | Logistics;Industry 4.0;Digitalization;Innovation;Supply Chain Management;Artificial Intelligence;Data Science | Issue Date: | 23-Sep-2020 | Source: | Hamburg International Conference of Logistics (HICL) 29: 427-456 (2020) | Part of Series: | Proceedings of the Hamburg International Conference of Logistics (HICL) | Volume number: | 29 | Abstract (english): | Purpose: The visual inspection of freight containers at depots is an essential part of the maintenance and repair process, which ensures that containers are in a suitable condition for loading and safe transport. Currently this process is done manually, which has certain disadvantages and insufficient availability of skilled inspectors can cause delays and poor predictability. Methodology: This paper addresses the question whether instead computer vision algorithms can be used to automate damage recognition based on digital images. The main idea is to apply state-of-the-art deep learning methods for object recogni-tion on a large dataset of annotated images captured during the inspection process in order to train a computer vision model and evaluate its performance. Findings: The focus is on a first use case where an algorithm is trained to predict the view of a container shown on a given picture. Results show robust performance for this task. Originality: The originality of this work arises from the fact that computer vision for damage recognition has not been attempted on a similar dataset of images captured in the context of freight container inspections. |
Conference: | Hamburg International Conference of Logistics (HICL) 2020 | URI: | http://hdl.handle.net/11420/8012 | DOI: | 10.15480/882.3122 | ISBN: | 978-3-753123-46-2 | ISSN: | 2365-5070 | Institute: | Maritime Logistik W-12 | Document Type: | Chapter/Article (Proceedings) | License: | ![]() |
Appears in Collections: | Publications with fulltext |
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Kloever et al. (2020) - A first step towards automated image-based container inspections.pdf | A first step towards automated image-based container inspections | 1,29 MB | Adobe PDF | View/Open![]() |
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