**2.10 Urine quality detector portable design**

This device as shown in **Figure 11** has a fairly small form which has the advantage of being easy to move so that it can be used anywhere. The closed box enables this invention to work without being affected by the external light intervention. The sensor used is a camera sensor as a component to take pictures from the reaction strip. *Non-Invasive Approach for Glucose Detection in Urine Quality Using Its Image Analysis DOI: http://dx.doi.org/10.5772/intechopen.104791*

**Figure 11.** *Design of urine quality detector portable.*

This urine glucose detector hardware is integrated with software that functions to analyze the data that has been obtained.

The device consists of a camera sensor, an LED module, a filament box, and a reaction strip slider. The ELP USB industrial camera type camera sensor is used as a sensor to take image data obtained from the reaction strip. The reaction strip consists of 10 variables, namely glucose, bilirubin, ketones, specific gravity, blood, pH, protein, urobilinogen, nitrite, and leukocytes. The reaction strip slider is made in such a way that its size matches the medical standard reaction strip. The camera sensor is equipped with a convex lens so that it can cover a wide area and can capture data from 10 variables simultaneously. The LED used in the LED module is a Super Bright LED type with a diameter of 3 mm. The LED module acts as a reaction strip light and adds light that enters the camera sensor. The LED module is also used to minimize the intervention of light entering the glucose detector in the urine. The LED module gets a voltage supply through an AC to DC power source with a working voltage of 12 V. The input of the power source is an alternating voltage type with a voltage value of 220 V. The output of the power source is a direct voltage of 12 V, 2 A. The camera sensor does not is always on to retrieve data, but the camera sensor starts capturing data on a command from the software. The test strip is dipped in a tube containing urine, and then the test strip enters the glucose detector through the test strip slide. When the reaction strip is in the correct position, the software will instruct the camera sensor to start taking pictures. The software takes an image through the camera sensor for 30 s from the moment the test strip is inserted into the glucose detector. The data that has been taken is stored on the computer. The software has been equipped with an algorithm to analyze the data that has been taken.

The software converts image data into value data from the 10 variables mentioned above. The output of this system is an early diagnosis of diabetes. The software will provide analysis results in the form of two choices, namely diabetes, and non-diabetes. The data that has been obtained in the software is also uploaded to the server, which will be used as a machine learning data set. The system on the server continues to study the data that has been collected, which is then used as a parameter in making decisions for the early diagnosis of diabetes. The box is made of a 3-dimensional mold with the type of PLA+ material. The box is made in such a way that it can accommodate the components used. Furthermore, the box also functions to reduce the intervention of light from outside so that the glucose detector in urine can be used anywhere and anytime.
