Integration of laser scanning and projection speckle pattern for advanced pipeline monitoring
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society: Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 2024. (IECON Proceedings (Industrial Electronics Conference)).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Integration of laser scanning and projection speckle pattern for advanced pipeline monitoring
AU - Villa-Manríquez, J. Fabián
AU - Sergiyenko, Oleg
AU - Sepúlveda-Valdez, Cesar
AU - Alaniz-Plata, Ruben
AU - Núñez-López, José A.
AU - Mercorelli, Paolo
AU - Flores-Fuentes, Wendy
AU - Rodriguez-Quiñonez, Julio C.
AU - Tyrsa, Vera
AU - Meza-Garcia, David
AU - López-Medina, Fernando
AU - Andrade-Collazo, Humberto
AU - Castro-Toscano, Moises Jesus
N1 - Conference code: 50
PY - 2024
Y1 - 2024
N2 - non-contact 3D spatial coordinate measurement systems, based on optical laser scanning as technical vision systems (TVS) for signal processing, are essential methodologies for obtaining topographies in high-risk environments where human exploration is limited. However, these systems have limitations in resolution, particularly when addressing features such as surface texture and small curvatures at edges. Therefore, in this work, we propose the implementation of speckle pattern projection as a complementary innovative solution. Supported by the digital image correlation (DIC) methodology and the use of multivariate methods such as principal component analysis (PCA), we obtain results from different wall surfaces in a pipe prototype. Additionally, we analyze the behavior of the signal received by the 3D scanner sensor, which provides complementary information about the study surface. This demonstrates that the combination of speckle pattern projection and three-dimensional laser scanning is an additional tool for advanced detection of substance material during pipeline monitoring.
AB - non-contact 3D spatial coordinate measurement systems, based on optical laser scanning as technical vision systems (TVS) for signal processing, are essential methodologies for obtaining topographies in high-risk environments where human exploration is limited. However, these systems have limitations in resolution, particularly when addressing features such as surface texture and small curvatures at edges. Therefore, in this work, we propose the implementation of speckle pattern projection as a complementary innovative solution. Supported by the digital image correlation (DIC) methodology and the use of multivariate methods such as principal component analysis (PCA), we obtain results from different wall surfaces in a pipe prototype. Additionally, we analyze the behavior of the signal received by the 3D scanner sensor, which provides complementary information about the study surface. This demonstrates that the combination of speckle pattern projection and three-dimensional laser scanning is an additional tool for advanced detection of substance material during pipeline monitoring.
KW - 3D scanning
KW - automated guide vehicle
KW - digital image correlation
KW - principal component analysis
KW - reflection
KW - speckle
KW - technical vision system
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=105000936586&partnerID=8YFLogxK
U2 - 10.1109/IECON55916.2024.10905742
DO - 10.1109/IECON55916.2024.10905742
M3 - Article in conference proceedings
AN - SCOPUS:105000936586
SN - 978-1-6654-6455-0
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
CY - Piscataway
T2 - 50th Annual Conference of the IEEE Industrial Electronics Society - IECON 2024
Y2 - 3 November 2024 through 6 November 2024
ER -