量子点
墨水池
RGB颜色模型
计算机科学
认证(法律)
物理不可克隆功能
纳米技术
材料科学
光电子学
人工智能
密码学
计算机安全
语音识别
作者
Yang Liu,Fei Han,Fushan Li,Yan Zhao,Maosheng Chen,Zhongwei Xu,Xin Zheng,Hailong Hu,Jianmin Yao,Tailiang Guo,Wanzhen Lin,Yuanhui Zheng,Baogui You,Pai Liu,Yang Li,Lei Qian
标识
DOI:10.1038/s41467-019-10406-7
摘要
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.
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