VR / Meta Quest
Eagle Eye — a VR eye trainer
Task
Vision specialists run group sessions, passing one headset from person to person. The trainer has to make sense to someone wearing a headset for the first time, give the specialist precise control over how the target moves, and carry settings between headsets without cables or accounts.
What we built
- 9 exercises for convergence, divergence and peripheral vision, each with its own motion model
- Six motion presets and six appearance presets
- Target colour, opacity, tremble and size, including a constant angular size
- Programmes built from steps, with looping
- Field-of-view calibration
- Background — passthrough, 360° photos or 360° video
- Settings transfer by file or QR code
Engineering decisions
- A QR codec written from scratch, with no libraries: encoder, Reed–Solomon decoder, finder detection, perspective correction, scanning through the headset camera on a background thread.
- A compact configuration format — every setting in a single QR code.
- Screens are produced by a generator from specifications.
- About 855 automated tests, including motion checks for every exercise.
Outcome and status
Delivered to the client in stages since November 2025, now at version 0.1.89; a Pico 4 Ultra port and licensing are in progress.
Stack
Unity 6, URP, Meta XR SDK, Android
