This is an Android project allowing you to use the advanced biometric authorization features.

QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization

LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters

SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms

A real-time performance optimised facial recognition security system for Linux that monitors webcam feeds and automatically logs out users when unauthorized faces are detected.

EFaR-Efficient-Face-Recognition

Hostellers Sahayyak is an innovative project designed to improve the hostel experience for students by addressing two key challenges: efficient grievance resolution and seamless attendance management. With advanced features like biometric attendance and a robust grievance system, this platform bridges the gap between students and hostel management.

An Android app example showing how to integrate our Twyn SDK to enroll face, fingerprints and interact with twyn backend

Source code of IJCB2024 paper "Controllable Privacy in Face Recognition: A Filter-based Approach"

Overview of the BioID organization on GitHub

AI-powered attendance management system using face recognition technology. This system uses OpenCV and deep learning to detect and recognize faces in real-time, marking attendance automatically with high accuracy.

Advanced speaker identification and verification system using deep learning. Features emotion recognition, language detection, and anti-spoofing capabilities for secure voice authentication applications.

Sure Vote is a web-based, full-stack, mobile-responsive application that allows users to vote from their computer or mobile device. Sure Vote uses facial recognition and UUID in order to for users to safely and securely vote in elections.

Biometrics Project

🧠 DMAD - Differential Morphing Attack Detection. A project for Fundamentals of Computer Vision and Biometrics course at the University of Salerno.