MiniAiLive's Complete Document Liveness Detection Solution for Digital Onboarding

3D Passive Face Liveness Detection!Supports Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution on Android

iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK

iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK

Check the likelihood that two faces belong to the same person. You will get a confidence score and thresholds to evaluate the similarity. Play with our Top Ranked Face Recognition & 3D Face Passive Liveness (Anti-Spoofing) Engine!

PHP School management system developed for schools or small institutes.

An IoT-based attendance system that uses RFID scanning, LEDs, a buzzer, and email alerts to track and manage employee presence in real time

Because manually entering games into BenchApp is too hard

Facial Recognization Attendence and Student Management System

Face Attendance and real time data visualization via WEB APP

A Face Recognition Attendence System made with the help of python libraries.

The Attendance Management System automates student attendance tracking, making it efficient and user-friendly.

A PHP Library For Manage Data From Fingerprint Machine with SOAP Protocol

This website contains API Backend and employee data management for SiAP application. This website is built with Laravel, Tailwind CSS, Vue JS, and Inertia JS. This website also has an attendance page (QR Code) and a table to display employee attendance data.

Student Attendance is a react app which is add students , check in, check out timing, number of students present.

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

Python Coded Script able to Take attendence Via Face Recognition using your Webcam and make them markable as an Existing user for the next time while you click on take Attendence, also give your attendence in Excel (CSV) format and captures all the photos in Training folder.

Automatic attendance marker which differentiate between photographs and real live video.

This Repo contains small code written in python using it's Selenium package to mark attendance automatically in Eduserver.