Deep learning-based optical inspection of rigid and deformable linear objects in wiring harnesses

Nguyen HG, Franke J (2021)


Publication Type: Journal article, Original article

Publication year: 2021

Journal

Original Authors: Huong Giang Nguyen, Jörg Franke

Book Volume: 104

Pages Range: 1765-1770

DOI: 10.1016/j.procir.2021.11.297

Abstract

The wiring harness is responsible for the information and energy flow within automotive vehicles and has become a safety-critical component within the trends of autonomous driving and electrification. As a result, the functionality, correctness, and traceability of the wiring harness need to be ensured with holistic quality assurance in the manufacturing. Addressing this research gap, this paper proposes an image processing pipeline for automated optical inspection of rigid and deformable linear objects in wiring harnesses. The deep learning-based optical inspection is outlined and implemented, the findings are presented, and the effectiveness and the relevance for industrial implementation are discussed.

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How to cite

APA:

Nguyen, H.G., & Franke, J. (2021). Deep learning-based optical inspection of rigid and deformable linear objects in wiring harnesses. Procedia CIRP, 104, 1765-1770. https://dx.doi.org/10.1016/j.procir.2021.11.297

MLA:

Nguyen, Huong Giang, and Jörg Franke. "Deep learning-based optical inspection of rigid and deformable linear objects in wiring harnesses." Procedia CIRP 104 (2021): 1765-1770.

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