Image Processing Method to Estimate Water Quality Parameter

José Alonso Ruiz Navarro, Félix Melchor Santos López, Jhon Manuel Portella Delgado, Eulogio Guillermo Santos de la Cruz

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


Human settlements in rural areas face multiple sanitary challenges including water quality, the control of which is usually deemed as secondary due to the lack of materials or appropriate equipment. Hence, the measurement of water quality parameters, including the concentration of free chlorine, is extremely important. This paper proposes a sensing system for the measurement of free chlorine concentration based on the traditional colorimetric method, with N,N-diethyl-p-phenylenediamine as the reagent. The major hardware components are a dark room and a stationary digital camera. Using the proposed image processing method, the algorithm quantifies the pigmentation change and subsequently estimates the free chlorine concentration of the sample. Following this, a regression model is derived from the compiled data, which enables the evaluation of new samples in terms of free chlorine concentration. This model has an estimation error of less than 7% and a working range of 0.26 ppm to 1.50 ppm.

Original languageEnglish
Title of host publicationApplied Technologies - 4th International Conference, ICAT 2022, Revised Selected Papers
EditorsMiguel Botto-Tobar, Marcelo Zambrano Vizuete, Sergio Montes León, Pablo Torres-Carrión, Benjamin Durakovic
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783031249846
StatePublished - 2023
Event4th International Conference on Applied Technologies, ICAT 2022 - Quito, Ecuador
Duration: 23 Nov 202225 Nov 2022

Publication series

NameCommunications in Computer and Information Science
Volume1755 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


Conference4th International Conference on Applied Technologies, ICAT 2022


  • Chlorine
  • Image processing
  • Model
  • Quality
  • Water


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