In order to meet modern production trends, a production technology has to become promptly and effectively adjustable to set demands. As a consequence, the concept of reconfigurability was introduced along with the development of reconfigurable production systems (RPS) based on the new concept. According to the principles of reconfigurability, such a system must be designed to promptly adopt set demands within a specific product group or within different product groups of products. Apart of production equipment, the associated quality control and measurement equipment is an integral component of this type of systems. Quality control is an essential part of the production process. To set up an efficient RPS, the quality control and measuring equipment must also be designed and used in line with forementioned concepts. This paper is having focus on developing of design methodology and procedures for reconfigurable measuring system (RMS) calibration. It is necessary to define a group of alike products, among full product range that will be controlled with an appropriate RMS and to propose an suitable design methodology as well as calibration procedure for such RMS, inclusive of construction of the etalon required for their calibration. Designing of an appropriate RMS will guarantee required level of flexibility and accuracy for the system. This research focuses on contactless dimensional measurement techniques using machine vision. Integral component of designed system is machine vision, which is in any case an essential element of industrial metrology as part of the Industry 4.0 concept. The design and calibration procedure of designed measurement system is presented in this thesis. The results of measurements performed with the designed RMS are compared with conventional measurement methods. The measurements performed on simply shaped objects and on more complex shaped objects that originate from the real production environment show the range of possibilities of designed RMS. Purpose of the designed measurement system is to easily adapt to product variations, hence presented RMS is designed for three product groups selected out of 12 products. Inclusive of dimensional checks, the system with implemented machine vision is providing additional advantages as the recorded images can be used later for subsequent digital processing and analysis.