When reproducing printed elements of augmented reality, the issue of accuracy and compliance of the obtained imprint in all parameters with the digital original plays a big role. However, the conditions of use of printed products, in particular external operating conditions (lighting conditions, air humidity, weather conditions) and material characteristics (glossiness, resistance to external conditions, etc.), can significantly affect the visual characteristics of the obtained imprints (color change, doubling of the contour, appearance highlights and extra darkened areas, etc.), which will lead to failures in their reproduction. This is especially important for printed products that have intensive conditions of use with possible constant changes. Therefore, it is quite important to apply additional measures at the stage of pre-press preparation of this kind of printed products, which would allow reducing the number of control operations at each stage of the technological process of its production, as well as to ensure appropriate indicators of reliability and durability throughout the entire period of its operation. In particular, the regulation of the characteristics of printed markers will allow selecting the appropriate indicators of the markers, which will avoid intense external influence. One of these important indicators is the degree of detail of the marker drawing. This work is devoted to determining the rational values of the degree of detail of AR-markers for printing products with elements of augmented reality.
Keywords: simulation model, imprints quality, quality indicator, AR marker, ink-jet printing, clarity, printed products, reproduction-graphic properties.
doi: 10.32403/0554-4866-2023-2-86-49-59
- 1. Syamsinar, S. (2022). Augmented Reality Media in Teaching English for Young Learner. Jurnal Studi Guru Dan Pembelajaran, 5(3), 272-277. doi: https://doi.org/10.30605/jsgp.5.3.2022.2030 (in English).
- 2. Nurillah, H. S., Purwanto, K. K., & Fatayah, F. (2022). The Effectiveness of Using Reality Augmented Media to Increase The Students’ Learning Motivation in Chemical Bonding Material. Tarbiyah: Jurnal Ilmiah Kependidikan, 11(2), 58–69. doi: https://doi.org/10.18592/tarbiyah.v11i2.7127 (in English).
- 3. Smith, Ch., & C. J Friel. (2021). Development and use of augmented reality models to teach medicinal chemistry. Currents in Pharmacy Teaching and Learning, 13, 1010–1017. doi: https://doi.org/10.1016/j.cptl.2021.06.008 (in English).
- 4. Ceccariglia F, Cercenelli L, Badiali G, Marcelli E, Tarsitano A (2022). Application of Augmented Reality to Maxillary Resections: A Three-Dimensional Approach to Maxillofacial Oncologic Surgery. Journal of Personalized Medicine. 2022; 12(12), 1–11. doi: https://doi.org/10.3390/jpm12122047 (in English).
- 5. Uriarte-Portillo A, Zatarain-Cabada R, Barrón-Estrada ML, Ibáñez MB, González-Barrón L-M (2023). Intelligent Augmented Reality for Learning Geometry. Information, 14(4), 245-263. doi: https://doi.org/10.3390/info14040245 (in English).
- 6. Putra, I Kadek Agus Andika; Putra, I Gusti Ngurah Anom Cahyadi (2022). Development of Augmented Reality Application for Canang Education Using Marker-Based Tracking Method. JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), 9(3), 365-374. doi: https://doi.org/10.24843/JLK.2021.v09.i03.p07 (in English).
- 7. Firdaus, M. B., Laksono, G. D., Prafanto, A., & Kridalaksana, A. H. (2023). Marker Based Tracking Augmented Reality Alat Musik Tradisional Khas Kalimantan Timur. JNANALOKA, 4 (1), 27-35. doi: https://doi.org/10.36802/jnanaloka.2023.v4-no01-27-34 (in English).
- 8. Oufqir, Z., Abderrahmani, A. El., & Satori, Kh. (April 8, 2020). From Marker to Markerless in Augmented Reality. Embedded Systems and Artificial Intelligence. Springer, Singapore. doi: https://doi.org/10.1007/978-981-15-0947-6_57 (in English).
- 9. Pranata, C. Aji. (2021). Marker based augmented reality pada buku poa dengan metode fast corner detection. EXPLORE, 11(2), 58-64. doi: https://doi.org/10.35200/explore.v11i2.461 (in English).
- 10. Tanaka, K., & Zhang, Y. (2022). Single-Image Camera Calibration for Furniture Layout Using Natural-Marker-Based Augmented Reality. IEICE Transactions on Information and Systems, E105.D(6), 1243–1248. doi: https://doi.org/10.1587/transinf.2021EDL8086 (in English).
- 11. Margaritopoulos, M., & Georgiadou, E. (2019). The application of augmented reality in print media. Journal of Print and Media Technology Research, 8 (1), 43-55 (in English).
- 12. Shchehelska, Yu. P. (2019). Osoblyvosti zastosuvannia tekhnolohii dodanoi realnosti yak instrumentaperetvorennia drukovanoi produktsii na tryvymirnu v praktytsi promotsiinykh komunikatsii: Polihrafiia i vydavnycha sprava, 1 (77), 101–110 (in Ukrainian).
- 13. Havenko, S., Khadzhynova, S., Olejnik, K., Kibirkštis, E., & Vaitasius, K. (2020). Influence of Primers on theOptical Characteristics of Ink-Jet Imprints. Mechanika, 26 (4), 360–364. doi: https://doi.org/10.5755/j01.mech.26.4.24434 (in English).
- 14. Havenko, S. F. (2020). Optymizatsiia protsesu otsiniuvannia yakosti shtrykhovykh kodiv: Polihrafiia i vydavnycha sprava, 1, 68-77 (in Ukrainian).
- 15. Havenko, S., Konyukhov, O., & Konyukhova, I. (2019). Electronic and microscopic analysis of offset imprints of barcodes on cardboards. Journal of Graphic Engineering and Design, 10 (1), 19–24. doi: https://doi.org/10.24867/jged-2019-1-019 (in English).
- 16. Baranova, D., Skyba, V., Rozum, T., & Zolotukhina, K. (2022). Ranking of Technologically Significant Factors Determining the Quality of Reproduction of Augmented Reality Elements (February 25, 2022). Eastern-European Journal of Enterprise Technologies, 1 (4 (115)), 51–65. doi: https://doi.org/10.15587/1729-4061.2022.251225; Retrieved from https://ssrn.com/abstract=4068854 (in English).
- 17. Baranova, D. I. (2022). Doslidzhennia protsesu vidtvorennia elementiv dopovnenoi realnosti: Tekhnolohiia i tekhnika drukarstva, 3 (77), 54-63 (in Ukrainian).