<p>Manufacturers have begun to adopt advanced digital methods and tools to release higher-quality products more quickly at a lower cost. Model-based technologies and Visual/Vision Inspection System (VIS) are two representative approaches and are trends to facilitate manufacturers’ digitalization. With model-based technologies, manufacturers can define digital product requirements and specifications as the primary data source for all engineering activities during the entire product lifecycle, including design, manufacturing, and inspection, rather than relying on traditional paper-based documents. Moreover, the manufacturers can improve product defect detection efficiency and reduce labor requirements by implementing a VIS without artificial visual inspection in their inspection process. Traditionally, inspectors rely heavily on information from 2D engineering drawings to inspect manufactured products with/without a VIS. This inspection process is out of the model-based context, hindering manufacturers from transiting paper-based to model-based processes.</p> <p>To answer the question of how we can adapt a VIS to support model-based inspection, the author selected a developmental research methodology to address the research gap of model-based visual inspection. An image-based Model-Based Visual Inspection System (MBVIS) framework integrating Model-Based Definition (MBD) and VIS applications was proposed to demonstrate the process of utilizing the Geometric Dimensioning and Tolerancing (GD&T) information from the MBD dataset and driving the VIS to measure physical targets. A plastic bottle with a high dimensional standard obtained from a plastic bottle manufacturer was chosen to evaluate the proposed system’s performance in extracting GD&T information from the MBD dataset and measuring relevant critical bottle dimensions. </p> <p>The interchangeability of the proposed MBVIS with a commercial VIS from the partner bottle company in measuring critical bottle dimensions was proven by conducting the Bland and Altman (B&A) analysis and other statistical analyses in this research. Moreover, two other customized tests were run to understand the effectiveness of the GD&T extraction and measurement result output processes within the MBVIS framework. The results indicated that both processes were reliable in extracting GD&T information and exporting measurement results.</p>