Recognitions of colored fabrics/laser-patterned metals based on photothermoelectric effects

Author:

Liu Zekun12ORCID,Wu Zhenhua12ORCID,Zhang Shuai12ORCID,Lv Yanxi2ORCID,Mu Erzhen3ORCID,Liu Ruijie4ORCID,Zhang Dongshi4,Li Zhuguo45,Li Shibo6,Xu Ke7,Hu Zhiyu1ORCID

Affiliation:

1. National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Shanghai Jiao Tong University, Shanghai 200240, China.

2. Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

3. School of Materials Science and Engineering, Henan Polytechnic University, Henan 454003, China.

4. Shanghai Key Laboratory of Materials Laser Processing and Modification, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

5. State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

6. Department of Microelectronics Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

7. Zhiyuan College, Shanghai Jiao Tong University, Shanghai 200240, China.

Abstract

Color is the mapping of electromagnetic waves of different wavelengths in human vision. The electronic color recognition system currently in use is mainly based on the photoelectric effect. Here, we demonstrate a color materials’ recognition system based on photothermoelectric effects. The system uses a microfabricated thermoelectric generator (TEG) as a platform, which is covered with dye-colored fabric pieces or structure-colored laser-patterned metal sheets. Under light irradiation, the fabrics/metals selectively absorb light and convert it into heat, which flows through the underlying TEG arrays and then converted into electrical signal output to realize the distinction of color and materials. This previously unidentified high-sensitivity TEG detection method provides a potential approach for precise color materials’ detection over wide areas and may help understand the mechanism of bionic color recognition.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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