A shadow enabled non-invasive probe for multi-feature intelligent liquid surveillance system

Author:

Lian Lizhen123,Zhang Qian1,Li Wenbo2,Wang Bin3,Liang Qijie2ORCID

Affiliation:

1. School of Materials, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China

2. Songshan Lake Materials Laboratory, Songshan Lake Mat Lab, Dongguan 523808, China

3. School of Physics and Materials Science, Guangzhou University, No. 230, University Town Waihuan West Road, Guangzhou 510006, China

Abstract

A non-invasive shadow probe (SP) based on the shadow effect for a multi-feature intelligent liquid surveillance system (ILSS) was developed. Combined with deep learning, the ILSS realizes accurate multi-feature detection of different liquids (99.3%).

Funder

Bureau of Education of Guangzhou Municipality

Science and Technology Planning Project of Shenzhen Municipality

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

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