Eye movement evaluation

The application main function is tracking the speed and coordinates of eye pupils via the mobile device camera.

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This is important to know

In the native application built with the OpenCV library integration.

The application is making approximately 1 photo of a patient's face with the 0.5 seconds frequency.

The photos of the patient's face can also be uploaded and processed.

All the computing is processed on the native app side, with no back-end.

In the native application built with the OpenCV library integration.

The application is making approximately 1 photo of a patient's face with the 0.5 seconds frequency.

The photos of the patient's face can also be uploaded and processed.

All the computing is processed on the native app side, with no back-end.

Medical application
for the eyes

Medical application
for the eyes

This application is a demo version and is aimed at improving the diagnostic processes of ophthalmic analyzes. This application will support preliminary diagnostics on angular velocity eye pupils measuring.

Algorithm & processing

Deselection of photos from series can sightly reduce eye-tracking algorithm accuracy. Perform this action only if you sure algorithm has failed to track an eye pupil correctly for one or more photos.

7-10
sec
Normal accuracy
10-15
sec
High accuracy

Photo processing
and process costs

Before starting the process of finding the coordinates of pupils, the taken or uploaded photos should be reduced to the minimum resolution in order to increase the speed of processing them by the OpenCV library

Step1

To improve the quality of results please make sure your phone if immobilized and not moving during the photoshoot.

Step2

Make sure your head is not moving and positioned according to the guide lines on the screen of your phone.

Step3

Take a photoshoot in a well-lit environment, make sure there are no glares on the pupils and the screen of the phone.

Step4

Deselection of photos from series can sightly reduce eye-tracking algorithm accuracy. Perform this action only if you sure algorithm has failed to track an eye pupil correctly for one or more photos.

Step5

Take a photoshoot in a well-lit environment, make sure there are no glares on the pupils and the screen of the phone.

Step1

To improve the quality of results please make sure your phone if immobilized and not moving during the photoshoot.

Step2

Make sure your head is not moving and positioned according to the guide lines on the screen of your phone.

Step3

Take a photoshoot in a well-lit environment, make sure there are no glares on the pupils and the screen of the phone.

Step4

Deselection of photos from series can sightly reduce eye-tracking algorithm accuracy. Perform this action only if you sure algorithm has failed to track an eye pupil correctly for one or more photos.

Step5

Take a photoshoot in a well-lit environment, make sure there are no glares on the pupils and the screen of the phone.

Available on
Android and IOS

As a result, the application is building the graphics with the eye position which allows a doctor to make a conclusion with ease. EyeTracker stores the doctor registration data and a list of his patients with their medical data.

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The main purpose of EyeTracker is help saving the time of medical observation and identification of eye problems.