A simple system to estimate or simulate eye tonometry (measurement of intraocular pressure) for educational or proof‑of‑concept purposes. This project is not a medical device and should not be used for clinical diagnosis.
Tonometry is a test that measures the pressure inside the eye (intraocular pressure, or IOP), which is important for screening conditions like glaucoma.
This project demonstrates:
- Basic IOP estimation or simulation using images or signals.
- A clean interface for viewing or logging results.
- A foundation that can be extended with real‑time sensors or machine learning.
eVton_vid.mp4
- Simulated or rule‑based tonometry readings.
- Simple visualization of IOP values over time.
- Export of results to JSON for later analysis.
- Extensible architecture for adding camera‑based or hardware‑based sensors.
- Run the main script to test results on web GUI.
- Integrate with a camera or sensor module to capture eye‑related data (e.g., corneal behavior or speckle patterns) and map them to pressure estimates. [web:13][web:19]
- View results in the console or via the simple plot window.
app.py– Entry point and demo.data/– Sample data or recordings (if any).requirements.txt– Python dependencies.
- This is not a certified medical device.
- Accuracy depends heavily on the model and sensor setup; real clinical tonometry requires calibrated hardware (e.g., Goldmann applanation or non‑contact tonometers). [web:15][web:18]
- For real‑world use, validation with ophthalmologists and clinical data is necessary.
MIT License – see LICENSE for details.