Nguyen HG, Franke J (2021)
Publication Type: Journal article, Original article
Publication year: 2021
Original Authors: Huong Giang Nguyen, Jörg Franke
Book Volume: 104
Pages Range: 1765-1770
DOI: 10.1016/j.procir.2021.11.297
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.
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://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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