Project Keywords:
Vision Health, Eye Tracking, Machine Learning, Preventative Care, AI Diagnostics
Project Summary
Academic Area:
Project Medium:
Eye Health Management and Tracking System This machine vision-powered eye health monitoring system tracks eye movements, fatigue, and vessel morphology with 98% accuracy. By using 3D eye-tracking and AI-based analysis, this technology provides personalized eye health data through a connected mobile application, offering valuable insights for vision care and early diagnosis.
Project Achievements
Project Inspiration
Project Social Impact
By offering AI-driven eye health assessments, this device helps individuals detect and manage vision-related issues early. Its ability to track eye fatigue and movement provides personalized recommendations for maintaining eye health. This technology contributes to preventative eye care, reducing the risk of long-term vision damage caused by digital strain and aging.
Project Market Demand
By offering AI-driven eye health assessments, this device helps individuals detect and manage vision-related issues early. Its ability to track eye fatigue and movement provides personalized recommendations for maintaining eye health. This technology contributes to preventative eye care, reducing the risk of long-term vision damage caused by digital strain and aging.