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