The authentication process takes under 3.5 minutes to complete, and involves scanning the tags under an electronic microscope to obtain the PUF pattern, which is sent to the AI-driven software for validation.
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A new anti-counterfeiting technique uses two dimensional (2D)-material tags along with artificial intelligence (AI)-driven authentication software, and promises to deliver faster, more accurate results even under extreme conditions.
The new method called ‘DeepKey’ was developed by an international team of researchers, led by the National University of Singapore (NUS). The team detailed their work in a study titled ‘Multigenerational Crumpling of 2D Materials for Anti-counterfeiting Patterns with Deep Learning Authentication’, published in the scientific journal Matter.
The 2D-material secure tags have randomly generated ‘Physically Unclonable…