Using automatic machine vision-based systems, the calibration of measuring instruments can be extended. With machine vision it is possible to check hundreds of points on the scale of a dial indicator, giving new insight into its sources of error. This paper describes a machine vision-based system for the calibration of dial indicators developed at the Centre for Metrology and Accreditation in Finland, with emphasis on the calculation of measurement uncertainty.