Machine vision has experienced unprecedented growth in recent years, with its deployment aimed at accelerating inspection, technological and other industrial tasks. By utilising compact camera solutions, we can now meet a wide range of practical and end-customer requirements relatively easily and, above all, effectively. In this article, we, therefore, aim to design and verify a selected camera system that will recognise image data from the running process of the FESTO automated line. The emphasis and added value of the contribution lie in the deployment of an economically advantageous system, the usability of its built-in functions and modules, as well as in the quality control of the scanned objects. In addition, the results and experiments of this paper aim to monitor the transfer of requirements to other (typologically identical) existing operations, where it is necessary to implement a specific type of machine vision without the need for significant and often costly intervention in the existing hardware and software. The monitored parameters of the inspection process include the detection of an object's presence, recognition of the colour scale, and its orientation, with an emphasis on the visualisation requirements of the individual states of the automated workplace.
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