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Related Experiment Video

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Advanced Anticounterfeiting: Angle-Dependent Structural Color-Based CuO/ZnO Nanopatterns with Deep Neural Network

Mun Jeong Choi1, SeongYeon Kim1, Jongho Shin1

  • 1Department of Mechanical Engineering, Chungbuk National University (CBNU), 1, Chungdae-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do 28644, Republic of Korea.

ACS Applied Materials & Interfaces
|March 12, 2025
PubMed
Summary

This study introduces a low-cost, mass-producible structural color anticounterfeiting pattern using random nanopatterns. The method achieves 94% accuracy for authentication, offering a scalable solution for product security.

Keywords:
anticounterfeitingcopper oxide (CuO)deep neural network supervised learningelectroless platinghydrothermal synthesiszinc oxide (ZnO)

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Optics

Background:

  • Current anticounterfeiting methods are often easily replicated, require specialized equipment, and are costly.
  • There is a need for scalable, low-cost, and robust anticounterfeiting solutions.

Purpose of the Study:

  • To develop a novel, low-cost, and mass-producible structural color-based anticounterfeiting pattern.
  • To create an efficient and accessible authentication algorithm for security applications.

Main Methods:

  • Fabrication of CuO/ZnO nanopatterns via electrospinning and solution processing.
  • Utilizing the inherent randomness of electrospinning for unclonable pattern generation.
  • Developing a deep learning algorithm for discrimination based on shape and color features.

Main Results:

  • Achieved strong angular color dependence in CuO/ZnO nanopatterns.
  • Demonstrated high-density information encoding capabilities.
  • Attained an average discrimination accuracy of 94% with a processing speed of 80 ms per sample using standard cameras.

Conclusions:

  • The developed structural color nanopatterns offer a robust and scalable anticounterfeiting solution.
  • The low-cost fabrication and accessible authentication algorithm enhance practicality for widespread adoption.
  • This technology presents a next-generation approach for securing documents, currency, and brand labels.