Non-invasive method of diagnosing health parameters using urinalysis

Urine testing is conducted using test dipsticks and measured using a stand-alone reference panel. The tabular representation though is user-friendly and leads to visual errors, specifically when the colors are in charts to be contrasted in spatial coordinates. Therefore, differentiating the colors in the reagent strips are compared with data obtained from the color sensor. This paper proposes a method which uses the urine test dip sticks for finding the health parameters urinalysis chart. Using a naked eye, the urine test can be measured by pointing to the strip without the need for additional pad. A smart phone-based Android App along with the device is also proposed for diagnosing the health parameters. The device measures the observed strip image in different color spaces and performs ten separate urine parameters using colorimetric detection. Therefore, both the naked eye and the camera will deliver results on the spot. Arduino(or)Node MCU based non-invasive urinalysis system configuration and calculation using RGB TCS3200 sensor. The project involves urinalysis for patients and commoners and detects up to 10 parameters in their urine and helps in the diagnosis and severity of their diseases.