Aleksandra Bernašek Petrinec
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Aleksandra Bernašek Petrinec has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Jana Žiljak Gršić
Zagreb University of Applied Sciences
4 shared publications - Silvio Plehati
Zagreb University of Applied Sciences
4 shared publications - Tomislav Bogović
Zagreb University of Applied Sciences
4 shared publications - Roko Vujić
University of Zagreb
1 shared publication
Latest Publications
- 2 September 2026
- Published by Springer Nature
- p. 876-886
Creating Twin Dyes in the Lighter Gray Tonal Range for Infrared-Responsive Black and White Photographs on Textile Materials
- 2 September 2026
- Published by Springer Nature
- p. 876-886
Creating Twin Dyes in the Lighter Gray Tonal Range for Infrared-Responsive Black and White Photographs on Textile Materials
- 2 September 2026
- Published by Springer Nature
- p. 844-857
Computer Vision-Based Multispectral Verification of Printed Tickets Using Infraredesign and Dual Aztec Codes
- 2 September 2026
- Published by Springer Nature
- p. 844-857
Computer Vision-Based Multispectral Verification of Printed Tickets Using Infraredesign and Dual Aztec Codes
- Open Access
- 30 June 2026
- Published by Springer Nature
- p. 172-186
Multispectral Embedding of Security Codes in Nature Inspired Textile Designs
- 30 June 2026
- Published by Springer Nature
- p. 172-186
Open AccessMultispectral Embedding of Security Codes in Nature Inspired Textile Designs
- Open Access
Development and Characterization of Near-Infrared Detectable Twin Dye Patterns on Polyester Packaging for Smart Optical Tagging
Smart polyester materials with embedded near-infrared (NIR) functionalities offer a promising pathway for low-cost, covert tagging, and object identification. In this study we present the development and characterization of polyester packaging surfaces printed with spectrally matched twin dyes that are invisible under visible light but selectively absorbed in the NIR region. The dye patterns were applied using a Direct-to-Film transfer (DTF) method onto polyester substrates. To validate their optical behavior, we applied a dual measurement approach. Laboratory grade NIR absorbance spectroscopy was used to characterize the spectral profiles of the twin dyes in the 400–900 nm range. A custom photodiode-based detection system was constructed to evaluate the feasibility of low-cost, embedded NIR absorbance sensing. Results from both methods show correlation in absorbance contrast between the dye pairs, confirming their suitability for spectral tagging. The developed materials were evaluated in a real-world detection scenario using commercially available NIR cameras. Under dark field conditions with edge illuminated planar lighting, the twin dye patterns were successfully recognized through custom software, enabling non-contact identification and spatial localization of the NIR codes. This work presents a low-cost, scalable approach for smart packaging applications based on optical detection of actively illuminated twin dyes using accessible NIR imaging systems.
Open AccessDevelopment and Characterization of Near-Infrared Detectable Twin Dye Patterns on Polyester Packaging for Smart Optical Tagging
Smart polyester materials with embedded near-infrared (NIR) functionalities offer a promising pathway for low-cost, covert tagging, and object identification. In this study we present the development and characterization of polyester packaging surfaces printed with spectrally matched twin dyes that are invisible under visible light but selectively absorbed in the NIR region. The dye patterns were applied using a Direct-to-Film transfer (DTF) method onto polyester substrates. To validate their optical behavior, we applied a dual measurement approach. Laboratory grade NIR absorbance spectroscopy was used to characterize the spectral profiles of the twin dyes in the 400–900 nm range. A custom photodiode-based detection system was constructed to evaluate the feasibility of low-cost, embedded NIR absorbance sensing. Results from both methods show correlation in absorbance contrast between the dye pairs, confirming their suitability for spectral tagging. The developed materials were evaluated in a real-world detection scenario using commercially available NIR cameras. Under dark field conditions with edge illuminated planar lighting, the twin dye patterns were successfully recognized through custom software, enabling non-contact identification and spatial localization of the NIR codes. This work presents a low-cost, scalable approach for smart packaging applications based on optical detection of actively illuminated twin dyes using accessible NIR imaging systems.