Embedded product authentication codes in additive manufactured parts : imaging and image processing for improved scan ability
Chen, Fei and Zabalza, Jaime and Murray, Paul and Marshall, Stephen and Yu, Jian and Gupta, Nikhil (2020) Embedded product authentication codes in additive manufactured parts : imaging and image processing for improved scan ability. Additive Manufacturing, 35. pp. 1-10. 101319. ISSN 2214-8604 (https://doi.org/10.1016/j.addma.2020.101319)
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Abstract
The layer-by-layer printing process of additive manufacturing methods provides new opportunities to embed identification codes inside parts during manufacture. These embedded codes can be used for product authentication and identification of counterfeits. The availability of reverse engineering tools has increased the risk of counterfeit part production and new authentication technologies such as the one proposed in this paper are required for many applications including aerospace components and medical implants and devices. The embedded codes are read by imaging techniques such as micro-Computed Tomography (micro-CT) scanners or radiography. The work presented in this paper is focused on developing methods that can improve the quality of the recovered micro-CT scanned code images such that they can be interpreted by standard code reader technology. Inherent low contrast and the presence of imaging artifacts are the main challenges that need to be addressed. Image processing methods are developed to address these challenges using titanium and aluminum alloy specimens containing embedded quick response (QR) codes. The proposed techniques for recovering the embedded codes are based on a combination of Mathematical Morphology and an innovative de-noising algorithm based on optimal image filtering techniques. The results show that the proposed methods are successful in making the codes scannable using readily available smartphone apps.
ORCID iDs
Chen, Fei, Zabalza, Jaime ORCID: https://orcid.org/0000-0002-0634-1725, Murray, Paul ORCID: https://orcid.org/0000-0002-6980-9276, Marshall, Stephen ORCID: https://orcid.org/0000-0001-7079-5628, Yu, Jian and Gupta, Nikhil;-
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Item type: Article ID code: 72334 Dates: DateEvent1 October 2020Published24 May 2020Published Online7 May 2020Accepted26 April 2019SubmittedNotes: © 2020 Elsevier B.V. All rights reserved Fei Chen, Jaime Zabalza, Paul Murray, Stephen Marshall, Jian Yu, Nikhil Gupta, Embedded product authentication codes in additive manufactured parts: Imaging and image processing for improved scan ability, Additive Manufacturing, Volume 35, 2020, 101319, https://doi.org/10.1016/j.addma.2020.101319 Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Measurement Science and Enabling Technologies
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 12 May 2020 09:17 Last modified: 11 Nov 2024 12:20 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/72334