Non-Invasive Approach for Glucose Detection in Urine Quality Using Its Image Analysis

Abstract

Human health can be detected through urine content, where metabolic waste in the body is excreted through urination. Glucose in the urine is caused by high levels of glucose in the blood, which can cause poor kidney function. This study aims to detect glucose in urine using non-invasive image analysis. The three measurement parameters in this research consist of Hue (H) is the color portion of the model that is expressed as a number from 0°C to 360, saturation (S) is the amount of gray in a particular color from 0% to 100%, and value/brightness (V) is the intensity of the color from 0% to 100%. Reagent strips for urinalysis with 10 variables are applied in this research, including glucose, bilirubin, ketone, specific gravity, blood, pH, protein, urobilinogen, nitrite, and leukocytes. All reading data from the system is sent to the monitor layer, which uses the python platform with the additional library Open-cv. The results obtained that the urine color is getting dimmer with the addition of 1 g of glucose in each test. This study was able to detect glucose in urine using image analysis.