Single-Image-Referenced Colorimetric Water Quality Detection Using a Smartphone | Zendy

Volkan Kılıç | Zendy; Gazihan Alankuş | Zendy; Nesrin Horzum | Zendy; Ali Yener Mutlu | Zendy; Abdullah Bayram | Zendy; Mehmet E. Solmaz | Zendy

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Single-Image-Referenced Colorimetric Water Quality Detection Using a Smartphone

Author(s) -

Volkan Kılıç,

Gazihan Alankuş,

Nesrin Horzum,

Ali Yener Mutlu,

Abdullah Bayram,

Mehmet E. Solmaz

Publication year - 2018

Publication title -

acs omega

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.779

H-Index - 40

ISSN - 2470-1343

DOI - 10.1021/acsomega.8b00625

Subject(s) - computer science , smartphone app , image quality , artificial intelligence , smartphone application , computer vision , quality (philosophy) , colorimetry , water quality , image (mathematics) , multimedia , human–computer interaction , ecology , biology , philosophy , epistemology

In this paper, we present a smartphone platform for colorimetric water quality detection based on the use of built-in camera for capturing a single-use reference image. A custom-developed app processes this image for training and creates a reference model to be used later in real experimental conditions to calculate the concentration of the unknown solution. This platform has been tested on four different water quality colorimetric assays with various concentration levels, and results show that the presented platform provides approximately 100% accuracy for colorimetric assays with noticeable color difference. This portable, cost-effective, and user-friendly platform is promising for application in water quality monitoring.

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