Luminescent tagging of documents and the method of their mobile detection based on Hyperspectral Imaging and Artificial Intelligence - LumAI

Project summary

The project addresses the need to enhance protection of the security documents (passports, IDcards, tax stamps) against counterfeiting. The objective of the LumAI is to develop a novel class of functional materials and the method of their mobile detection that will be used in an innovative document security system. The luminescent powder will be incorporated into ink and printed on paper or polymer film. The activation will be performed by a model of multichannel flash lamp. For detection, smartphone application based on hyperspectral imaging and AI approach will be used. This technique will facilitate the verification of the authenticity of the documents and help fight against forgery. It allows the user not only to confirm the document but also to identify its producer, which provides additional security. The project represents collaborative design of problem-oriented research and creative integration of knowledge across disciplines including material and computer science.

Project Details

Call

Call 2022


Call Topic

Functional materials


Project start

01.06.2023


Project end

30.11.2025


Total project costs

730.000 €


Total project funding

620.000 €


TRL

3 - 5


Coordinator

Dr. Kamila Leśniewska-Matys

Łukasiewicz Research Network – Institute of Microelectronics and Photonics , ALEJA LOTNIKOW 32/46, 02-668 WARSZAWA, Poland


Partners and Funders Details

Consortium Partner   Country Funder
Łukasiewicz Research Network – Institute of Microelectronics and Photonics
https://imif.lukasiewicz.gov.pl
Research org. Poland PL-NCBR
3D-nano
https://3d-nano.com
SME Poland PL-NCBR
Institute of Solid State Physics, University of Latvia
https://www.cfi.lu.lv/en/
Research org. Latvia LV-LZP
Vilnius University
https://www.vu.lt
University Lithuania LT-LMT
Garsu Pasaulis UAB
https://www.gp.lt
SME Lithuania LT-LMT

Keywords

luminescence, powder, advanced functional materials, photonic devices, data identification, hyperspectral imaging, luminescent taggant