Efficient Quality Control through Machine Vision-Based Dimension Inspection of Machined Parts

Manual visual inspection of parts and products is a time-consuming, labor-intensive, and error-prone process. In contrast, machine vision inspection offers a fast, precise, and efficient alternative. A cost-effective inspection station for dimension inspection of machined components can be developed using computer hardware and software, multiple cameras and lighting, and algorithmic comparison to a predefined standard. This system enables real-time inspection, automatic acceptance or rejection of parts or products, and improved quality control. By leveraging LabVIEW, the automated visual inspection and separation mechanism can be implemented efficiently, providing a reliable and efficient solution for industrial quality control.

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Published
2025-04-24
DOI
https://doi.org/10.1109/iccies63851.2025.11032887
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Efficient Quality Control through Machine Vision-Based Dimension Inspection of Machined Parts

Pradeepa Ganesan, S. Kanthalakshmi
Industrial Vision Systems and Defect Detection
article

Efficient Quality Control through Machine Vision-Based Dimension Inspection of Machined Parts

Pradeepa Ganesan, S. Kanthalakshmi
article en

Abstract

Manual visual inspection of parts and products is a time-consuming, labor-intensive, and error-prone process. In contrast, machine vision inspection offers a fast, precise, and efficient alternative. A cost-effective inspection station for dimension inspection of machined components can be developed using computer hardware and software, multiple cameras and lighting, and algorithmic comparison to a predefined standard. This system enables real-time inspection, automatic acceptance or rejection of parts or products, and improved quality control. By leveraging LabVIEW, the automated visual inspection and separation mechanism can be implemented efficiently, providing a reliable and efficient solution for industrial quality control.

PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH (IN)
Openalex Percentile: Top 81%
Industrial Vision Systems and Defect Detection
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