Detect Blood Glucose from Contact Lens
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