Computer Vision Technique to Improve the Color Ratio in Estimating the Concentration of Free Chlorine

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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Access to drinkable water is a constitutional right in Peru. However, quality water is not universally accessible, particularly in rural areas where neither water disinfection nor quality control are undertaken. It is therefore crucial to develop methods that allow estimates of water quality characteristics, such as free chlorine concentration. This publication proposes a sensing system that estimates free chlorine concentration using a traditional colorimetric method of chemical reaction with N, N-diethyl-p-phenylenediamine and a stationary digital camera. Using image processing, a subset of computer vision, the algorithm quantifies the color of the water sample after chemical reaction with the reagent and, on the basis of that quantification, tries to estimate the free chlorine concentration of the sample. After the quantification, a model is determined using a best-fit polynomial. The resulting polynomial model is then implemented using serverless cloud computing resources from Amazon Web Services, and its results are also hosted using this platform. The model error has a standard deviation of 0.0129 ppm.

Idioma originalInglés
Título de la publicación alojadaAdvances and Applications in Computer Science, Electronics, and Industrial Engineering - Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2021
EditoresMarcelo V. Garcia, Félix Fernández-Peña, Carlos Gordón-Gallegos
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas127-141
Número de páginas15
ISBN (versión impresa)9783030977184
DOI
EstadoPublicada - 2022
Evento3rd International Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2021 - Ambato, Ecuador
Duración: 25 oct. 202129 oct. 2021

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen433
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia3rd International Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2021
País/TerritorioEcuador
CiudadAmbato
Período25/10/2129/10/21

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