Urine Test Strip Detection for Diabetes
About Project
A common practice among people with diabetes is monitoring their Albumine and Creatinine levels. This mobile application detects the ALB and CRE levels from the captured images of the urine test strips.
Client
Siemens Healthineers
Category
Computer Vision Backend Algorithm Development
Key Highlights
Developed an algorithm using Computer Vision techniques for Image quality checks, Color matching and Aruco marker detection to classify the Albumin and Creatinine levels from the urine test strip images for a mobile application.
LIBRARIES AND TOOLS
- OpenCV
- Numpy
- Color matching algorithms
- Camera
- Urine Test Strip
- Calibration Card