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Data Center News > Blog > Innovations > A system for embedding invisible digital information in printed documents
Innovations

A system for embedding invisible digital information in printed documents

Last updated: July 7, 2025 6:37 pm
Published July 7, 2025
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A system for embedding invisible digital information in printed documents
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Credit score: Carlos III College of Madrid

A group of researchers from Universidad Carlos III de Madrid (UC3M), the Massachusetts Institute of Expertise (MIT) and Adobe Analysis have introduced Imprinto, a system for embedding invisible digital info in printed paperwork utilizing infrared ink and a particular digicam. This know-how introduces a brand new technology of hybrid interfaces between paper and augmented actuality.

The software, lately introduced on the Convention on Human Elements in Computing Techniques (CHI 2025) held in Yokohama, Japan, has been developed with the purpose of enabling superior interplay with bodily paperwork, with out altering their visible look. The examine is published within the Proceedings of the 2025 CHI Convention on Human Elements in Computing Techniques.

“Imprinto makes use of an infrared ink that’s invisible to the human eye however detectable by way of a near-infrared digicam, similar to these that may be built-in into cellular units by merely modifying the photographic sensor,” explains one of many driving forces behind the undertaking, Raúl García Martín, from UC3M’s Division of Digital Expertise.

This system opens the door to new strategies of product traceability, doc authentication, and enrichment of instructional or skilled content material. Furthermore, it may well all be performed with out reliance on seen codes similar to QR codes or including exterior units to the doc.

Imprinto is a part of a broader ecosystem of instruments that UC3M and MIT researchers are exploring primarily based on the probabilities of infrared know-how. The authors have additionally developed, and are within the technique of patenting, a transportable digicam, connectable by way of USB-C to any cellular system, which permits blood vessels to be noticed beneath the pores and skin to facilitate medical procedures. As well as, it permits biometric recognition primarily based on the vascular patterns of the palm of the hand because of synthetic intelligence algorithms.

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Credit score: Carlos III College of Madrid

“The system, known as VeinGoOne, goals to investigate the photographs captured in actual time, permitting not solely 2D visualization but additionally 3D reconstruction of vein depth utilizing strategies similar to stereoscopy or Time-of-Flight,” says García Martín.

One other of the developments introduced by the UC3M group is BrightMarker, a system that enables invisible codes to be embedded in 3D objects utilizing fluorescent polymers. This innovation makes it potential to print objects containing hidden digital labels, helpful for industrial traceability, superior logistics or customized interplay in augmented actuality environments with out altering the looks of the item.

These advances are a part of a extra bold imaginative and prescient: changing cell phones with augmented actuality glasses or contact lenses, able to recognizing and decoding the setting utilizing built-in infrared cameras, in accordance with the researchers.

“On this close to future, applied sciences similar to Imprinto, BrightMarker and VeinGoOne will permit customers to work together with bodily objects and paperwork in a digital, intuitive and customized manner,” concludes García Martín.

Extra info:
Martin Feick et al, Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Notion, Proceedings of the 2025 CHI Convention on Human Elements in Computing Techniques (2025). DOI: 10.1145/3706598.3713286

Offered by
Carlos III College of Madrid


Quotation:
A system for embedding invisible digital info in printed paperwork (2025, July 7)
retrieved 7 July 2025
from https://techxplore.com/information/2025-07-embedding-invisible-digital-documents.html

This doc is topic to copyright. Aside from any honest dealing for the aim of personal examine or analysis, no
half could also be reproduced with out the written permission. The content material is supplied for info functions solely.

See also  Qodo’s open code embedding model sets new enterprise standard, beating OpenAI, Salesforce



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