PupilMetrics Research Tool – Research-informed pupil metrics for education and insight

Summary: PupilMetrics applies a structured algorithm to pupil measurements to visualize symmetry, variation, and patterns based on over 40 years of clinical research. It compares computer vision and ONNX-based pupil detection results validated on clinical case studies. The app supports multiple pupil form types and is available in nine languages.

What it does

PupilMetrics analyzes pupil shapes using a structured algorithm and presents visual reports to aid understanding of pupil characteristics. It integrates computer vision and ONNX models validated on clinical data to improve pupil detection accuracy.

Who it's for

The tool is designed for educational and research purposes, targeting users interested in exploring pupil metrics without medical diagnosis.

Why it matters

It simplifies complex pupil observations for learning and discussion while maintaining clear boundaries from medical use.