Engineering and Technology | Open Access | DOI: https://doi.org/10.37547/tajet/Volume08Issue05-05

Integration of Vision Systems and CMM Inspection in Precision Manufacturing

Iryna Honcharuk , Estimator, Project Manager, Advanced Engineering & EDM, Inc. Poway, California, USA

Abstract

The article is dedicated to the transformation of dimensional inspection in precision manufacturing through the integration of machine vision systems and coordinate measuring machines. Relevance is determined by increasing geometric complexity of components and the need to maintain micron-level accuracy under high production rates. The work describes the structural reorganization of inspection processes into distributed measurement systems where sensing, validation, and control are interconnected. Special attention is paid to data fusion mechanisms, calibration strategies, and the redistribution of measurement uncertainty across heterogeneous sensing layers. The work sets itself the task of explaining how integrated inspection architectures improve both efficiency and measurement reliability. Analytical review and conceptual interpretation of recent scientific studies are used to solve it. Such sources have been studied in terms of measurement architectures, in-line metrology, optical coordinate systems, and uncertainty propagation models. The conclusion shows that integration does not merge technologies into a single method but restructures them into a hierarchical measurement infrastructure combining speed, coverage, and traceable accuracy. The article will be useful for researchers and engineers working with advanced inspection systems in precision manufacturing environments.

Keywords

precision manufacturing, machine vision, coordinate measuring machine, data fusion, in-line inspection

References

Catalucci, S., Piano, S., Thompson, A., et al. (2022). Optical metrology for digital manufacturing: A review. The International Journal of Advanced Manufacturing Technology, 120, 4271–4290. https://doi.org/10.1007/s00170-022-09084-5

Castro-Martin, A. P., Ahuett-Garza, H., Guamán-Lozada, D., Márquez-Alderete, M. F., Urbina Coronado, P. D., Orta Castañon, P. A., Kurfess, T. R., & González de Castilla, E. (2021). Connectivity as a design feature for Industry 4.0 production equipment: Application for the development of an in-line metrology system. Applied Sciences, 11(3), 1312. https://doi.org/10.3390/app11031312

El Ghazouali, S., Vissiere, A., Lafon, L.-F., Bouazizi, M.-L., & Nouira, H. (2022). Optimised calibration of machine vision system for close range photogrammetry based on machine learning. Journal of King Saud University – Computer and Information Sciences, 34(9), 7406–7418. https://doi.org/10.1016/j.jksuci.2022.06.011

Isa, M. A., Leach, R., Branson, D., & Piano, S. (2024). Vision-based detection and coordinate metrology of a spatially encoded multi-sphere artefact. Optics and Lasers in Engineering, 172, 107885. https://doi.org/10.1016/j.optlaseng.2023.107885

Li, Z., Liao, W., Zhang, L., Ren, Y., Sun, G., & Sang, Y. (2024). Feature-model-based in-process measurement of machining precision using computer vision. Applied Sciences, 14(14), 6094. https://doi.org/10.3390/app14146094

Rzepka, M., Łukianowicz, C., Zawadka, W., Rokosz, K., & Nadolny, K. (2024). Suitability study of optical coordinate measuring machine for quality assessment and wear phenomena identification of blade edge and surface of planer technical knives. Materials, 17(16), 4018. https://doi.org/10.3390/ma17164018

Stojadinovic, S. M., Majstorovic, V. D., Gąska, A., Sładek, J., & Durakbasa, N. M. (2021). Development of a coordinate measuring machine–based inspection planning system for Industry 4.0. Applied Sciences, 11(18), 8411. https://doi.org/10.3390/app11188411

Zhang, Z. M., Catalucci, S., Thompson, A., et al. (2023). Applications of data fusion in optical coordinate metrology: A review. The International Journal of Advanced Manufacturing Technology, 124, 1341–1356. https://doi.org/10.1007/s00170-022-10576-7

Zhou, K., Chu, W., & Zhao, P. (2025). Monocular visual measurement system uncertainty analysis and one-step end-to-end estimation upgrade. Sensors, 25(23), 7179.

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How to Cite

Honcharuk, I. (2026). Integration of Vision Systems and CMM Inspection in Precision Manufacturing. The American Journal of Engineering and Technology, 8(05), 47–54. https://doi.org/10.37547/tajet/Volume08Issue05-05