Because manually entering games into BenchApp is too hard
-
Updated
May 9, 2024 - TypeScript
Because manually entering games into BenchApp is too hard
NIST FRVT Top Ranked Face Recognition, iBeta 2 Certified Passive Liveness Detection (3D Face Anti-Spoofing) Engine on Mobile
NIST FRVT Top Ranked Face Recognition, iBeta 2 Certified Liveness Detection (3D Face Passive Anti-Spoofing) Engine!
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 MiniAiLive Face Recognition & 3D Face Passive Liveness Detection Engine!
Upgrade your iOS app with MiniAiLive's Face Liveness Detection! With our advanced computer vision techniques, you can now enhance security and accuracy on your iOS platform. Check out our latest repository containing a demonstration of 2D & 3D face liveness detection capabilities. Try it out today!
iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK
Upgrade your Android app with MiniAiLive's 3D Passive Face Liveness Detection! With our advanced computer vision techniques, you can now enhance security and accuracy on your Android platform. Check out our latest repository containing a demonstration of 2D & 3D passive face liveness detection capabilities. Try it out today!
Facial Recognization Attendence and Student Management System
Face Attendance and real time data visualization via WEB APP
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.
To decrease the burden of taking the manual attendance everytime, I am working on the project of smart attendance system (i.e)Automating the attendance process using facial recognition.
Add a description, image, and links to the attendence-system topic page so that developers can more easily learn about it.
To associate your repository with the attendence-system topic, visit your repo's landing page and select "manage topics."