ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper Metasurface-integrated optofluidic sensing enabled by artificial vision intelligence for identifying liquid chemicals
Cited 0 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Hongliang Li, Jin Tae Kim, Jin-Soo Kim, Duk-Yong Choi, Sang-Shin Lee
Issue Date
2023-05
Citation
Conference on Lasers and Electro-Optics (CLEO) 2023, pp.1-2
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1364/CLEO_AT.2023.AW4I.3
Abstract
The currently used liquid identification techniques are costly, cumbersome, and spectrometer-reliant. In this study, a compact, accurate, and cost-effective method for identifying liquids was presented using visual intelligence algorithms and a metasurface-incorporated optofluidic device incorporated.