How does BioEye work?

Healthcare professionals have been measuring eye movements for decades to better assess patients’ brain health. The science is proven, but traditional collection methods can be subjective and inconsistent.

BioEye, through the use of a smartphone app, is able to collect eye biomarkers in a smarter, more efficient and reliable way.

The technology behind the BioEye platform


The BioEye app uses a smartphone to capture the subject’s eye movements


Baseline tests are is administered using the BioEye app when brain health is at its optimum

Real time assessment

The tests are repeated at any point to gauge changes in brain health and then periodically until full recovery

Extract & Upload

Eye markers are extracted in real-time and uploaded to the cloud


BioEye analyses test results and identifies any changes from previous tests

Big Data & AI

Accumulation of datasets from all tests are used for ongoing improvement of machine learning models for concussion diagnosis and monitoring

Measurements & Tests

A doctor might shine a torch in your eye or move a finger from side to side to observe how your eyes respond. By digitising traditional testing procedures BioEye gives a far more accurate and objective result than can be achieved by manual tests. In addition, BioEye is able to extract several other ocular markers that cannot be seen by the naked eye.

Capture and calibrate

The BioEye app guides the operator and subject through calibration and eye testing procedures. Taking images of the pupils, irises and blinking, the app is able to transform video into accurate eye tracking data in real-time.

Instant results of test

The results of each individual test are uploaded to the BioEye cloud. The operator and subject are provided with a summary of their results. The raw data is converted into a series of detailed graphics which can be used to assist diagnosis by a healthcare professional.

Want to try the demo?

If you are interested to learn more about BioEye technology and our scientific trials, we’d love to hear from you.