This my Capstone project which i did in my b.tech final year.

Face Recognition Attendance System developed using React and FaceApi.js library built on top of Tensorflow.js

An Android as frontend and Python as backend face recognition app used on attendance management

The Face Recognition Based Attendance System uses face recognition technology to automate student attendance tracking in educational institutions. It captures live video or images, matches them against a registered database of faces, and marks attendance in real-time.

Welcome to my Face Recognition Attendance Management repo! 📸✅ By leveraging the power of computer vision and machine learning, our system automates the attendance tracking process. 🚀🌟

A Face Recognition Attendance System based on facial recognition built using Dlib library, OpenCV and Flask.

A Face Recognition Attendance System based on facial recognition built using Dlib library, OpenCV and Flask.

A modern solution that leverages computer vision technology to automate and streamline the process of recording attendance.

An intuitive GUI for simplifying attendance tracking and management with Face recognition

AttendRx is a smart attendance system powered by ESP32-CAM. It effortlessly captures student images using ESP32-CAM, transmits them wirelessly to a computer via Wi-Fi, and employs a Python script to detect and log their faces along with timestamps in an Excel sheet. Streamlining attendance management for modern education.

Face recognition iOS with 3D passive liveness detection(anti-spoofing). This repo supports the following functionality: face matching, face compare, face comparison, facial recognition, feature extraction, face anti-spoofing and face liveness for IDV

Face recognition SDK Android with 3D passive face liveness detection(anti-spoofing). Standard Face Recognition SDK This repo supports the following functionality: face matching, face compare, face comparison, facial recognition, feature extraction, face identification, face anti-spoofing and face liveness detection for IDV

The aim of this project is how to use face as an authentication system for an attendance system

A flask model and React Native application for Digital Attendance System

This is the world first repository which describes full solutions for Physical Access Control System containing from hardware design, Face Recognition & Face Liveness Detection (3D Face Passive Anti-spoofing) model to deployment for device. Can be applied to face recognition based smart-lock or similar solution easily.

This project represents a significant advancement in attendance tracking by merging the accessibility of web-based platforms with the strength of face recognition technology.

Face recognition Flutter with 3D passive liveness detection(anti-spoofing). This repo supports the following functionality: face matching, face compare, face comparison, facial recognition, feature extraction, face anti-spoofing and face liveness for IDV

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof) Android SDK Demo ☑️ Face Recognition ☑️ Face Liveness Detection ☑️ Face Pose Estimation

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof) iOS SDK Demo ☑️ Face Recognition ☑️ Face Liveness Detection ☑️ Face Pose Estimation

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Windows Server SDK Demo ☑️ Face Recognition ☑️ Face Liveness Detection ☑️ Face Attribute Analysis