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Research Article

Intelligent electronic passworded locker with unique and personalized security barriers for home security

Xiaoqing Huo1,2,§Xuelian Wei1,2,§Baocheng Wang1,2,§Xiaole Cao1,2Jiahui Xu1,2Jiaxin Yin1Zhiyi Wu1,2( )Zhong Lin Wang1,2,3( )
Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
College of Nanoscience and Technology, University of Chinese Academy of Science, Beijing 100049, China
School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA

§ Xiaoqing Huo, Xuelian Wei, and Baocheng Wang contributed equally to this work.

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Graphical Abstract

Our work has developed intelligent electronic passworded lockers for smart security, which are concealed and can be personalized to greatly improve their security.

Abstract

As a widely used security device, the electronic passworded locker is designed to protect personal property and space. However, once the password is leaked to an unauthorized person, its security is lost. Here, with the assistance of triboelectric nanogenerators (TENGs), we present an intelligent electronic passworded locker (IEPL) based on unique and personalized security barriers, which can accurately extract users’ habits of entering passwords through integrated deep learning. The key of the IEPL adopts the single electrode mode of TENG that accurately recognizes the input behavior of a person based on machine learning, which serves as a reliable, unique, and unreproducible gate, with advantages of thin thickness, diversified structure, and simple preparation method. Finally, the proposed IEPL offers a reliable solution for improving the overall security of passworded lockers and extending the application of TENG-based sensors in the smart home.

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Nano Research
Pages 7568-7574
Cite this article:
Huo X, Wei X, Wang B, et al. Intelligent electronic passworded locker with unique and personalized security barriers for home security. Nano Research, 2023, 16(5): 7568-7574. https://doi.org/10.1007/s12274-022-5321-3
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Received: 23 September 2022
Revised: 10 November 2022
Accepted: 13 November 2022
Published: 21 December 2022
© Tsinghua University Press 2022
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