Nature Communications· 2019Q1
Inkjet-printed unclonable quantum dot fluorescent anti-counterfeiting labels with artificial intelligence authentication
- 550citations
- Q1SCImago
- 2019year
Short summary
Researchers developed inkjet-printable, AI-decodable, and unclonable fluorescent security labels using quantum dots that form unique flower-like patterns.
AI-generated from the title and abstract; the full text is not read.
Key points
- Developed unclonable, inkjet-printable fluorescent security labels using quantum dots.
- Unique flower-like patterns are formed by quantum dot deposition at pinned contact lines during solvent evaporation.
- Full-color fluorescence is achievable by using RGB-emitting quantum dots.
- An AI-based authentication strategy can reliably decode patterns under various conditions (sharpness, brightness, rotation).
AI-generated from the title and abstract; the full text is not read.
Abstract
An ideal anti-counterfeiting technique has to be inexpensive, mass-producible, nondestructive, unclonable and convenient for authentication. Although many anti-counterfeiting technologies have been developed, very few of them fulfill all the above requirements. Here we report a non-destructive, inkjet-printable, artificial intelligence (AI)-decodable and unclonable security label. The stochastic pinning points at the three-phase contact line of the ink droplets is crucial for the successful inkjet printing of the unclonable security labels. Upon the solvent evaporation, the three-phase contact lines are pinned around the pinning points, where the quantum dots in the ink droplets deposited on, forming physically unclonable flower-like patterns. By utilizing the RGB emission quantum dots, full-color fluorescence security labels can be produced. A convenient and reliable AI-based authentication strategy is developed, allowing for the fast authentication of the covert, unclonable flower-like dot patterns with different sharpness, brightness, rotations, amplifications and the mixture of these parameters.
The authors' abstract, as published at the source. Nature Communications, 2019 · DOI ↗
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Field: Hardware and Architecture
Hardware and ArchitectureComputer Science