Water quality analysis using mmWave radars

Dariush Salami, Anni Juvakoski, Riku Vahala, Michael Beigl, Stephan Sigg

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Abstract

Water quality and drinkability assessment are of high importance for various applications from monitoring water utilities to emergency water source evaluation. Traditionally, water quality assessment is done in laboratories with spacious and expensive equipment. We propose a wearable, mm Wave Frequency-Modulated Continuous Wave (FMCW) radar based system to assess water quality. Given its small form-factor, low price, and its robustness to lighting and weather conditions, this family of radars can be integrated into wearable devices such as smart-watches, smart glasses, smart rings, etc. Equipped with mm Wave radar sensors, such wearables enable seamless monitoring of water quality in hands free settings. The proposed system is able to directly process the In-phase and Quadrature (IQ) data generated by the radar to detect varying levels of different contaminants in four different kinds of water. Specifically, it can identify different concentrations of salt with 100% accuracy, namely nitrate and chloride, as well as detecting different types of waters including Reverse Osmosis (RO), tap, river, and well water with 99.1 % accuracy.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023
PublisherIEEE
Pages412-415
Number of pages4
ISBN (Electronic)978-1-6654-5381-3
DOIs
Publication statusPublished - 2023
MoE publication typeA4 Conference publication
EventIEEE International Conference on Pervasive Computing and Communications Workshops - Atlanta, United States
Duration: 13 Mar 202317 Mar 2023

Publication series

NameIEEE International Conference on Pervasive Computing and Communications Workshops
ISSN (Electronic)2766-8576

Conference

ConferenceIEEE International Conference on Pervasive Computing and Communications Workshops
Abbreviated titlePerCom
Country/TerritoryUnited States
CityAtlanta
Period13/03/202317/03/2023

Keywords

  • AI
  • ML
  • mmWave radar
  • water quality analysis

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