An industry-oriented workflow for noise reduction in handheld 3D scanning: A case study in automated dimensional inspection

Lin, Chengsi and Robinson, Scott and A Rahman, Muhamad Arfauz and Maropoulos, Paul G. and Mohamad, Effendi and Ito, Teruaki (2026) An industry-oriented workflow for noise reduction in handheld 3D scanning: A case study in automated dimensional inspection. International Journal of Advanced Manufacturing Technology. pp. 1-20. ISSN 0268-3768

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Abstract

Reliable dimensional inspection with handheld 3D scanners is frequently affected by unstable environmental conditions, reflective surfaces, and operator-dependent variability. This study introduces a practical, industry-oriented workflow designed to minimize noise during both acquisition and post-processing. The approach combines controlled lighting and temperature management, surface preparation using matte spray coatings, and optimized scanning trajectories to enhance data capture stability. These acquisition strategies are followed by a structured post-processing pipeline in Artec Studio 17, emphasizing targeted noise filtering while preserving small geometric features. Three machined components of differing complexity were evaluated, with dimensional accuracy assessed against their corresponding CAD models. The proposed workflow yielded average improvements of 1–2% in geometric fidelity and reduced variability across repeated scans. While the method relies on commercial software, it offers clear industrial value by improving inspection consistency, lowering rework rates, and supporting more efficient metrology practices. The findings provide actionable guidance for manufacturers seeking practical, workflow-based solutions for noise reduction in handheld 3D scanning environments.

Item Type:	Article
Uncontrolled Keywords:	Artec Leo, Noise reduction, Quality control, Workflow optimization
Divisions:	Faculty Of Industrial And Manufacturing Technology And Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	20 Jul 2026 07:15
Last Modified:	20 Jul 2026 07:15
URI:	http://eprints.utem.edu.my/id/eprint/30032
Statistic Details:	View Download Statistic

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