Development of a Cloud-Based Image Processing Health Checkup System for Multi-Item Urine Analysis

Area of Science:

• Biomedical Engineering
• Medical Diagnostics
• Cloud Computing

Background:

• Lifestyle diseases are increasing, necessitating convenient and cost-effective health monitoring.
• Rapid urine tests (URS-10) offer insights into various physiological conditions but are prone to user misinterpretation due to color variations.
• Accurate interpretation of rapid test results is crucial for timely medical intervention.

Purpose of the Study:

• To develop a cloud-based system for accurate interpretation of URS-10 urine test strip results.
• To address challenges in color interpretation and visual discrepancies faced by lay users.
• To create an accessible and user-friendly health checkup system utilizing smartphone technology.

Main Methods:

• Development of a cloud-based system integrating a custom colorimetric board and smartphone application.
• Image acquisition of URS-10 test strips via smartphone, followed by upload to a cloud server for analysis.
• Implementation of color calibration technology to standardize results across different devices and lighting conditions.

Main Results:

• The developed system achieved high accuracy in interpreting URS-10 test strip results, with a success rate of 95% in challenging cases.
• Color calibration effectively eliminated discrepancies caused by different camera devices and varying light intensities.
• The system demonstrated its capability to provide reliable interpretations without requiring specialized technical expertise.

Conclusions:

• The cloud-based health checkup system offers a reliable and accessible solution for interpreting URS-10 urine test results.
• This technology democratizes health monitoring by simplifying the interpretation of rapid diagnostic tests.
• The system has the potential to improve early detection of diseases associated with lifestyle changes and other conditions.