A real-time eye gaze tracking prototype using Python, OpenCV, and MediaPipe.
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Updated
Sep 10, 2026 - Python
A real-time eye gaze tracking prototype using Python, OpenCV, and MediaPipe.
Zaawansowany system uwierzytelniania biometrycznego wykorzystujący techniki rozpoznawania twarzy.
Repo for Biometry project, part of IAD study program at Faculty of Mathematics and Information Science, Warsaw University of Technology
Official implementation of the pupillometry system called PupilSense proposed in the article "PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild".
This project focuses on iris detection using deep learning techniques. The model architecture combines the power of ResNet152V2, a pre-trained convolutional neural network (CNN), with additional convolutional layers to accurately detect and localize iris regions in images.
Iris flower classification using KNN and Random forest algorithm
Daugman's algorithm for Iris detection
Some light-weight blink detection algorithms written in C++.
👀 Face, eyes and iris detection using OpenCV, built-in camera and Raspberry Pi camera Module
Real-time Face and Iris Landmarks Detection using C++
This repository contains an implementation for calculating human iris center using CNN model built by PyTorch. The CNN architecture and dataset are attached. It is apart of Assignment2 in Machine Learning course for ROCV master's program at Innopolis University.
Daugman's algorithm for Iris detection
A collection of deep learning frameworks ported to Keras for face analysis.
To associate your repository with the iris-detection topic, visit your repo's landing page and select "manage topics."