The paper presents research related to thermochromic inks printed on textile materials. These types of materials are smart materials, they act as packaging indicators, and we use them to develop a software application on mobile devices. That application identifies the most significant changes in parameters of the goods contained in the packaging, such as temperature changes during the storage and transport (goods packaged in packaging that is sensitive to heat), or such as pharmaceuticals and frozen food, etc. This paper aims to demonstrate the possibility of connecting thermochromic materials and Augmented Reality technology through the development of an application for identifying thermochromic materials changes. The tested samples were printed on the textile with a screen printing technique with conventional and thermochromic leuco inks on various textile materials. The Augmented Reality platform Vuforia was used for developing a software application for mobile devices. The application was developed for the iOS mobile platform. The result of the research is the functional application that actively monitors and displays changes in thermochromic materials due to temperature changes, which identifies the effect of heat on the goods in textile packaging.

This research aims to determine the influence of heat and printing substrate type on the colorimetric properties of the thermochromic ink printed on various textile materials while subjected to heating simulating realistic conditions of usage. The results of the research can be used as a recommendations for the development of a smart temperature indicators for textile packaging. Four specific groups of textile materials were used as printing substrates and magenta leuco thermochromic water-based screen printing ink (activation temperature 31°C) in order to analize resulting colorimetric properties. Experiment based on analysis of resulting color differences confirmed that the screen thread count influences the rate of the material color change. Namely, the higher the thread count the faster the color change i.e. the sample returns faster from the discolored to the colored state. It was also confirmed that the lower the fabric weight of the material is, the sample returns faster from discolored to the colored state. In addition, this article presents a comparison of the contact and contactless method of sample heating at the same temperature. It was shown that the samples were cooled slower and consequently changed the colorimetric values after the contact method.

The paper presents the distance learning concept development by visualizing the work process of graphics machines. The basic goal is realized through the application development that includes machines simulations and their elements. A large number of simulations and explanations of the work process are included in the knowledge base. The concept is expanded to learning how to program machines so that the future operator can master significant knowledge that will enable him to engage in the production process quickly. The paper presents concrete types of machines for different printing techniques and machines for making packaging prototypes. For the realization of objects visualizations, modern software tools were used, which finally provided good quality.

The paper presents the research aimed at setting up and developing a software system for the printing process parameters identification based on modern computer and software systems, algorithmic principles, principles of expert systems construction and advanced learning. Thus, the possibilities of application of contemporary software tools were investigated, which facilitates the process and forms the program structure of the model that uses programming languages based on the expert systems construction principles and tools for the development of system model based on the principles of modern learning. For complex model development, concepts of process knowledge bases with influential process parameters of printing technique have been developed through modelling and construction based on the logic of expert systems with the presentation, use and involvement of experts knowledge in decision making with the evaluation of the impact of individual parameters. In addition to this approach, a module was developed using modern software tools based on an algorithmic principle and a module for identifying printing process parameters using modern platforms based on advanced learning. Sophisticated software model has been made through the research and developed with databases of process parameter identification systems based on modern software tools. This tool enables a significant expedition of the solution resolving, thus improving the graphical production process and the processes of acquiring and expanding knowledge. The model is based on integrative modules: a printing process parameters identification system based on algorithmic program structure systems, a printing process parameters identification system based on expert system building principles, and a printing process parameter identification system based on modern learning systems.