Face recognition pipeline based on Facenet and MTCNN including image preprocessing (denoise, dehazing,...) with image augmentation techniques

Face-Login project. This Project is based on facenet deep learning model, When a user wants to Signup it will click the photo of the user by the webcam, on which the model is trained. The user has to enter a unique username and email address on the page and the encodings of the image captured are mapped onto the username and stored in the databa…

Who is your doppelgänger and more with Keras face recognition

Automated registrations for meetups and events. Makes way for a constant and smooth flow for crowded events.

WYNA is a tiny bot asking your name and remembers your face and your name on next encounter

This is a modern Face Authentication System which includes state-of-art algorithms to detect face and generate face embedding. This system contains endpoints which can be integrated to any device depending on the requirements.

A web app that authorizes a user with their face.

A Flask Rest API to register face to database and verification

Real time face recognition Using Facenet , pytorch, Tensorflow

A simple implementation of facial recognition using facenets for humans 🧔 🔍

This is a self mini project that I undertook for my learning process. I have taken an episode from my favourite TV series called The Office (US) S06E01. Using this episode I have extracted images & using those images I have classified 17 characters using CV2 and Facenet Model.

Smart attendance Desktop app built using facenet pr-trained model

Face Recognize application. Using FaceNet and CoreML

Face Recognition and Classification Using FaceNet and MTCNN

<NOT ACTIVELY MAINTAINED>A light weight face recognition implementation using a pre-trained facenet model

Python application for face detection and recognition using various algorithms.

Created a Distributed platform that provides face recognition based automatic attendance at a scheduled time. The platform also keeps track of the details like for how many hours was a person present . Hence provides a solution for institutes for marking attendance of the students automatically at the scheduled time and for the organizations to …

A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is standing in front of him or not.

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.