An AI-powered Smart Attendance System uses face recognition and liveness detection to automate attendance, ensuring accuracy, security, and real-time tracking.
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Updated
Oct 31, 2025 - Python
An AI-powered Smart Attendance System uses face recognition and liveness detection to automate attendance, ensuring accuracy, security, and real-time tracking.
Face recognition and analytics library based on deep neural networks and ONNX runtime
This is a basic model determining whether the face verified in front of real-time camera is real or spoofed by images
Trang web quản lí và chấm công bằng gương mặt .
AI-powered smart attendance system with facial recognition, anti-spoofing, and real-time web dashboard — perfect for classrooms and organizations.
Multiple face anti-spoofing models from github
[IEEE T-IFS] Foundation Models and Biometrics: A Survey and Outlook
Real-Time Face Anti-Spoofing System: A YOLO-based real-time face anti-spoofing and image quality assessment solution with a Streamlit interface. Ideal for biometric authentication and surveillance applications.
This hook adds MAC anti-spoofing functionality to libvirt
Attendance Management System
Lil project in which I learn to use YOLO to solve the anti-spoofing problem
Проверка фото на живость/face detection liveness
The integrated facial recognition software with Door2Dorm. It is capable of analyzing registered tenants of a dormitory, if there are any unauthorized individuals recognized this program will send an SMS alert to all phone number of tenants in the premises.
Implementation of the approach presented in the paper 'Face Spoofing Detection Using Colour Texture Analysis' to tackle spoofing attempts
Face Liveness Detection - A tool to prevent spoofing in face recognition systems.
This is a layer in a facial Recognition System
Sam template para realizar a instalação do software hubia liveness (server-side) dentro da sua conta AWS.
Project of the course Advanced Programming for Scientific Computing of Politecnico di Milano
In this project, we present ways to improve reliability of proctoring by generating plots of each parameter measured during the online evaluation.
Easy and simple face recognition with high FPS, antispoof, and face detection
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