Use of artificial intelligence systems in the printing industry during technological process planning

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Шепіта П. І., Троян В. В., Сивак А. М., Богоніс О. О. № 2 (88) 95-104 Image Image

The article explores the potential use of artificial intelligence (AI) systems in the printing industry, focusing on layout analysis and technological process forecasting. The study examines the main aspects of implementing neural networks for data processing in PDF and TIF formats, identifying key parameters, comparing them with knowledge ba­ses, and making automated decisions. It is shown that the use of AI can increase forecasting accuracy up to 95%, optimize resource utilization, and significantly reduce the time required for production tasks. Special attention is paid to the advantages of neural networks, such as their ability to learn, adapt to new data, and automate routine processes.

The article presents a graph model of a neural network consisting of modules for processing textual and graphical data, comparing them with the reference parameters of the knowledge base, and forecasting the optimal technological process. A comparative analysis of the efficiency of neural networks and traditional empirical methods was conducted, highlighting the advantages of AI in all key metrics. The challenges of AI implementation, including high costs, the need for quality data, and the adaptation of existing infrastructure, are also discussed.

The study’s findings confirm that integrating AI into the printing industry is a pro­mising direction that ensures a high level of automation, improved product quality, and increased production efficiency. At the same time, successful implementation requires consideration of economic, technical, and ethical aspects.

Keywords: artificial intelligence, neural network, printing industry, layout analysis, process forecasting, technological optimization, automation, PDF, TIF, production efficiency.

doi: 10.32403/0554-4866-2024-2-88-95-104


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