In our previous post about detecting smaller features using metrology cameras, we highlighted the differences between mainstream machine vision cameras and industrial metrology cameras [See slide 7 in Yole Développement’s Machine Vision Market report presentation]. Today, let’s dive deeper into scenarios where metrology cameras offer a performance advantage.

Metrology cameras are engineered for applications where pixel data directly impacts measurement accuracy—such as bright field/dark field illumination or interferometry. These cameras typically serve process control systems in semiconductor and electronics manufacturing but also find use in other precision industries.

Mainstream cameras, on the other hand, focus on maximizing functionality and minimizing costs. They prioritize resolution, frame speed, and price for tasks like general inspection or factory automation (e.g., food quality verification). Advances in image sensor technology continue to expand their capabilities, making them widely applicable across various fields.

However, if your imaging system’s performance is critical to product differentiation or relies on high-accuracy measurements, read on.

High-Quality Image Data

Metrology cameras prioritize pixel data excellence. By fully understanding the image sensor and optimizing its operation under specific conditions (e.g., temperature), manufacturers can reduce defects and enhance uniformity. Embedded calibrations automatically adjust for factors like temperature variations or optical imperfections, ensuring dynamic range, linearity, and precision—key to detecting minute details and maintaining measurement accuracy.

Consistent Performance Across Images and Cameras

For automated measurements, consistency is paramount: image variations must be smaller than the features being measured. Metrology cameras minimize this variability through robust design, embedded functions, and rigorous calibration processes. This ensures that any detected changes reflect genuine process deviations rather than camera inconsistencies.

Achieving this level of precision requires precise sensor alignment and specialized verification procedures—steps often omitted in mainstream cameras. These extra measures are essential for meeting the performance demands of advanced technology nodes while eliminating unnecessary workarounds or adjustments.

Last Updated: 2025-09-04 20:01:32