An Automated Toolchain for Camera-Enabled Sensing of Drinking Water Chlorine Residual.

ABSTRACT: Chlorine residual concentration is an important parameter to prevent pathogen growth in drinking water. Disposable color changing test strips that measure chlorine in tap water are commercially available to the public; however, the color changes are difficult to read by eye, and the data are not captured for water service providers. Here we present an automated toolchain designed to process digital images of free chlorine residual test strips taken with mobile phone cameras. The toolchain crops the image using image processing algorithms that isolate the areas relevant for analysis and automatically white balances the image to allow for use with different phones and lighting conditions. The average red, green, and blue (RGB) color values of the image are used to predict a free chlorine con

SUBMITTER: Schubert A 

PROVIDER: S-EPMC9469768 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature