Machine Learning and Colorimetric Method Based pH Detecting System

This study investigates machine learning-based methods to measure the pH level accurately while using inexpensive equipment. The colorimetric method is employed to determine the pH level of a solution, which is achieved through a pH indicator paper-based embedded test system. The system incorporates a machine vision module to identify the colour of the pH indicator paper and a machine learning algorithm to quantify the pH value. A comparison between regression and classification machine learning algorithms was conducted. The experimental results revealed that, despite the regression model exhibiting smaller pH intervals than the classification model, the classification model is more stable and estimates more accurate values.