The capability to measure the smallest dimension accurately using a vision-based system in manufacturing inspection hinges on various factors, including the imaging system's resolution, optical quality, lighting conditions, and the characteristics of the objects under scrutiny. Nonetheless, modern vision-based systems typically achieve sub-pixel resolution, enabling measurement of dimensions as minuscule as a fraction of a pixel.
In scenarios demanding utmost precision, where minute dimensions necessitate measurement, specialized imaging techniques like microscopy, high-magnification lenses, and sophisticated image processing algorithms can be leveraged to enhance resolution and measurement accuracy. Furthermore, factors such as image noise, lens distortions, and calibration inaccuracies must be meticulously addressed to ensure precise measurements.
Ultimately, the feasibility of reliably measuring the smallest dimension using a vision-based system varies depending on the specific application requirements and the capabilities of the employed system.