Noninvasive suspicious liquid detection using wireless signals

Deng, J., Sun, W., Guan, L., Zhao, N., Khan, M. B., Ren, A. , Zhao, J., Yang, X. and Abbasi, Q. H. (2019) Noninvasive suspicious liquid detection using wireless signals. Sensors, 19(19), 4086. (doi: 10.3390/s19194086) (PMID:31546632) (PMCID:PMC6806220)

Abstract

Conventional liquid detection instruments are very expensive and not conducive to large-scale deployment. In this work, we propose a method for detecting and identifying suspicious liquids based on the dielectric constant by utilizing the radio signals at a 5G frequency band. There are three major experiments: first, we use wireless channel information (WCI) to distinguish between suspicious and nonsuspicious liquids; then we identify the type of suspicious liquids; and finally, we distinguish the different concentrations of alcohol. The K-Nearest Neighbor (KNN) algorithm is used to classify the amplitude information extracted from the WCI matrix to detect and identify liquids, which is suitable for multimodal problems and easy to implement without training. The experimental result analysis showed that our method could detect more than 98% of the suspicious liquids, identify more than 97% of the suspicious liquid types, and distinguish up to 94% of the different concentrations of alcohol.

• Item Type: Articles
• Additional Information: The work was supported in part by the Fundamental Research Funds for the Central Universities (No. JB180205).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Abbasi, Professor Qammer and Ren, Dr Aifeng

Creator Roles

Ren, A.: Supervision
Abbasi, Q. H.: Supervision

• Authors: Deng, J., Sun, W., Guan, L., Zhao, N., Khan, M. B., Ren, A., Zhao, J., Yang, X., and Abbasi, Q. H.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Journal Name: Sensors
• Publisher: MDPI
• ISSN: 1424-8220
• ISSN (Online): 1424-8220
• Published Online: 21 September 2019
• Copyright Holders: Copyright © 2019 The Authors
• First Published: First published in Sensors 19(19): 4086
• Publisher Policy: Reproduced under a Creative Commons license