High-dimensional anticounterfeiting nanodiamonds authenticated with deep metric learning.

Lingzhi Wang, Xin Yu, Tongtong Zhang, Yong Hou, Dangyuan Lei, Xiaojuan Qi, Zhiqin Chu

December 2024 Nat Commun

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Abstract Synopsis

  • Physical unclonable function (PUF) labels are seen as a strong solution for preventing counterfeiting, but face challenges such as limited high-quality materials and ineffective authentication methods.
  • The authors introduce a new method using fluorescent nanodiamonds that allows for three-dimensional encoding, achieving high-quality digitized images quickly and with great stability.
  • They also propose a deep metric learning algorithm for authentication, which improves noise tolerance and is effective even with previously unseen labels, making it a more reliable option than traditional methods.