In the mass production of painted components, color, texture, and coating thickness must be reliably evaluated. Manual measurements are time-consuming, difficult to scale, and dependent on the precise positioning of the measuring devices.

This white paper demonstrates how automated measurement systems enable reproducible measurement points, efficient processes, and structured data collection. It focuses on end-of-line color measurement cells, measurement tables for laboratory use, and various measurement methods for color, texture, and coating thickness.

Using a reference project as an example, you’ll also gain insight into the design of an automated measurement cell for painted car bodies—including robotics, measuring instruments, data communication, and data analysis.

Here’s what you’ll learn

• Why automated measurement offers advantages over manual methods
• How end-of-line color measurement cells and measurement tables are technically designed
• Which measurement methods can be used for color shade, texture, and coating thickness
• How measurement data is communicated, evaluated, and used for quality assurance