Industry 4.0
Vol. 7 (2022), Issue 2, pg(s) 42-45

TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

Trends and applications of artificial intelligence methods in industry

  • 1 Univers ity of Žilina, Faculty of Mechanical Engineering, Department of Automation and Production Systems, Slovakia

Abstract

This article describes the actual trends and applications in industry where artificial intelligence models are deployed. This paper provides a more detailed description of the principles and methods of deploying models in the field of quality evaluation in industry and also in the areas of predictive maintenance and data analytics in the manufacturing process. Computer vision is increasingly coming to the fore due to its wide range of applications – object detection, categorisation of objects, reading QR codes and others. The area of predictive maintenance is important in terms of reducing downtime and saving costs for machine components. Models designed for data analytics, in turn, help to optimize the parameters of the production process so that the desired parameter is maximized or its optimal value is achieved.

Keywords

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