End-to-end simulation of an automated metrology instrument for camera testing (Invited Paper)

In this paper we build on our machine vision camera simulation by modeling an automated metrology instrument. Metrology instruments are critical to high-volume manufacturing, however, validating these systems in hardware is a time-consuming, resource-intensive process. Simulating the validation process in lieu of hardware reduces program risks and costs while simultaneously speeding the path to production. By combining lens design, virtual twin and statistical software, we propose a novel method to simulate metrology instrument variability to enable a team to accelerate production workflows. Simulated gage repeatability and reproducibility (GR&R) is computed from model data using industry standard tools to predict the gage capability of the instrument system digital twin. This approach allows teams to prevent potential GR&R failures and catch design issues if a solution only marginally meets pass/fail criteria.