Microsoft A-Eye

Problem

Over 370 million people in the world suffer from an eye disease, and when detected early, the likelihood of preventing blindness can increase as much as 95%. However, detection and diagnosis currently require a highly trained ophthalmologist and a clinical fundus camera costing over $20,000 on average making ophthalmology highly inaccessible in developing parts of the world.

Approach

The team worked with ophthalmologists and optical engineers to design an optical path to maximize illumination and minimize glare. They also used an iterative approach, conducting usability and functional testing to continuously improve their prototypes.

Solution

A-Eye is a mobile retinal camera designed for users who are not medical professionals. It utilizes unique software and hardware techniques to capture high-quality fundus images at a low cost eliminating the need for ophthalmologists for retinal imaging.

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