Skip to content
#

face-recognition-attendance-system

Here are 28 public repositories matching this topic...

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

  • Updated Oct 7, 2024
  • Kotlin

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

  • Updated Oct 28, 2024
  • Dart

Face recognition SDK .NET MAUI (formerly Xamarin) and CSharp with 3D passive liveness detection (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)

  • Updated Nov 1, 2024
  • C#

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

  • Updated Oct 7, 2024
  • Swift

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.

  • Updated Oct 15, 2024
  • Jupyter Notebook

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.

  • Updated Oct 29, 2024
  • C++

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.

  • Updated Jun 6, 2023
  • Python

Improve this page

Add a description, image, and links to the face-recognition-attendance-system topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the face-recognition-attendance-system topic, visit your repo's landing page and select "manage topics."

Learn more