face recognition

This is a face recognition program that uses a webcam feed to detect and recognize faces. It allows the user to register new faces by associating them with names and stores this information for future recognition

Programtervező Informatikus MSc - Képfeldolgozás haladóknak MSc gyak. projektmunka

FRScanner - Face Recognition Scanner

API construída em Python para realizar reconhecimento facial de uma imagem e comparar com outras imagens armazenadas em um banco de dados Mongodb, e retornar se é a mesma pessoa. Serviços do projeto foram feitos em docker com containers para a api e o mongo.

Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified, 3D Face Anti Spoofing, 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

This repository contains a C++ application that demonstrates face recognition, 3D face liveness detection (anti-spoofing) capabilities using computer vision techniques. The SDK utilizes OpenCV and dlib libraries for efficient face detection and recognition.

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

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 Liveness (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 Top Ranked Face Recognition & 3D Face Passive Liveness (Anti-Spoofing) Engine!

Analyze a series of face related attributes including age, gender, smile intensity, head pose, eye status, emotion, beauty, eye gaze, mouth status, skin status, face image quality and blurriness.

✭ MAGNETRON ™ ✭: OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a FACE RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY)

Annonymizing facial footprints - anonyME allows users to inoculate their personal images against unauthorized machine learning models, with minimal distortion of the input image, and no need for prior machine learning knowledge.

Employee attendance web app. The objective of this app is to recognise employees through face recognition, register attendance time and date. Other operations include adding employee data to system, update, delete and download attendance (PDF) sheet.

Python code for detection and recognition of 13 VIPs. Project for Digital Forensics A.A 19/20 course for UNIPD.

A user interface for face recognition