Open AccessInkjet-printed unclonable quantum dot fluorescent anti-counterfeiting labels with artificial intelligence authentication
Author(s) -
Yang Liu,
Fei Han,
Fushan Li,
Yan Zhao,
Maosheng Chen,
Zhiai Xu,
Xin Zheng,
Hailong Hu,
Jianmin Yao,
Tao Guo,
Wanzhen Lin,
Yuanhui Zheng,
Baogui You,
Pai Liu,
Yang Li,
Qian Liu
Publication year - 2019
Publication title -
nature communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.559
H-Index - 365
ISSN - 2041-1723
DOI - 10.1038/s41467-019-10406-7
Subject(s) - physical unclonable function , quantum dot , authentication (law) , inkwell , rgb color model , computer science , materials science , nanotechnology , optoelectronics , artificial intelligence , cryptography , computer security , speech recognition
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.