
MS Project • 2019-2020
Detect Blood Glucose from Contact Lens
Overview
Developed an architecture to analyze images of custom contact lenses and predict blood glucose level with 85% accuracy. Measured with spectroscopy system and got better results from image analysis based methods.
Challenges
- Image quality optimization
- Accurate glucose level prediction
- Real-time monitoring
- Non-invasive measurement
Results
- 85% prediction accuracy
- Non-invasive measurement system
- Real-time monitoring capability
- Published research findings
Technologies Used
Computer VisionMachine LearningSpectroscopyImage AnalysisPython