Deep learning-based identification of steel products

Li Wei Kang*, You Ting Chen, Wei Chen Jhong, Chao Yung Hsu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

To achieve smart manufacturing in Industry 4.0 for steel industry (or Steel 4.0), this paper proposes a smart steel manufacturing framework, where a deep learning-based automatic identification tracking method for steel products is developed. Automatically online tracking and identifying steel products on a production line is essential for smart manufacturing management since those products might be frequently moved and processed everywhere on the product flow. Existing approaches usually rely upon marking or embedding a series of identification codes on the steel surfaces. However, steel-making is usually processed under a very high temperature environment, making it difficult to well embed the identification codes with acceptable quality for further automatically online recognizing them. To tackle this problem, this paper presents a vision-based automatic identification tracking method without needing to embed any identification codes onto the steel product surfaces. The key idea is to utilize the essential identity of a steel product without extrinsic information embedded, achieved by automatically and deeply learning visual features from the steel image. The presented preliminary results have verified the efficiency of the proposed method.

Original languageEnglish
Title of host publicationRecent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
EditorsLakhmi C. Jain, Lakhmi C. Jain, Pei-Wei Tsai, Akinori Ito, Jeng-Shyang Pan, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages315-323
Number of pages9
ISBN (Print)9783030037475
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 - Sendai, Japan
Duration: 2018 Nov 262018 Nov 28

Publication series

NameSmart Innovation, Systems and Technologies
Volume110
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018
Country/TerritoryJapan
CitySendai
Period2018/11/262018/11/28

Keywords

  • Convolutional neural networks
  • Deep learning
  • Feature learning
  • Identification tracking
  • Industry 4.0
  • Smart manufacturing
  • Steel 4.0

ASJC Scopus subject areas

  • General Decision Sciences
  • General Computer Science

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