A self-powered 2D barcode recognition system based on sliding mode triboelectric nanogenerator for personal identification

A self-powered 2D barcode recognition system based on sliding mode triboelectric nanogenerator for personal identification
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基于滑模摩擦纳米发电机的自供电二维条码识别系统,用于个人身份识别

DOI:
10.1016/j.nanoen.2017.11.028
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发表时间:
2018-01-01
期刊:
影响因子:
17.6
通讯作者:
Hu, Chenguo
Hu, Chenguo
中科院分区:
材料科学1区
文献类型:
--
作者:
Chen, Jie;Pu, Xianjie;Hu, Chenguo

文献摘要

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相似文献

摩擦电纳米发电机(TENG)用于开发自供电的个人识别系统具有很大的优势,但在以往的研究工作中存在的一些问题(刷卡速度、稳定性等)阻碍了这种条形码系统的进一步应用。在本文中,我们设计了一个基于摩擦电的条形码识别系统(T-BS)。通过使用参考条形码组件,可以很容易地识别随机滑动运动下的输出信号,为解决前面工作中的问题提供了一个很好的策略。通过阈值、相位差和寻峰相结合,将器件的输出电压信号转换为数字信号“1”或“0”,并将编码后的信息实时显示在LabVIEW平台上。当人手以匀速或非匀速刷卡时,可以成功识别编码信息,使门禁系统准确运行。通过增加条码列数,缩小尺寸,获得更精确的二维条码识别系统(包括条码和读写器),实现个人身份识别。这项工作证明了滑模TENG作为个人身份识别的自供电二维条形码识别系统的可能性,这表明了在信息安全方面的潜在应用。
Triboelectric nanogenerator (TENG) for developing self-powered personal identification system exhibits great advantages, however, some problems (swiping speed, stability, etc.) in the previous research work prevent this kind of barcode system for further applications. Herein, in this paper, we design a triboelectric based barcode recognition system (T-BS) for practical applications. By using a reference barcode component, the output signal under random swiping motion can be easily recognized, which offers an excellent strategy for the solution of the problems in the previous work. Through the conjunction of threshold value, phase difference and peak-searching, the output voltage signals of the device can be converted into digital signal "1" or "0", and the coded information can be real-time displayed on LabVIEW platform. When swiping a card at a constant speed, or non-uniform speed by human hands, the coded information can be successfully identified and the access control system operates accurately. Moreover, by increasing the numbers of barcode columns and minifying the size, more precise 2D barcode recognition system (including barcode and reader) is obtained and realized the personal identification. This work demonstrates the possibility of the sliding mode TENG as a self-powered 2D barcode recognition system for personal identification, which indicates potential applications in information security.