Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation

Automate attendance record. React & Python

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recognition -demo

集成Dlib实现人脸识别模块，以及通过YOLOV5+DeepSort+SlowFast 实现多目标实时在线行为检测。并且开发功能对接接口，可以快速进行二次开发。

Face Recognition With WeChat | 人脸识别微信小程序案例

Training Number Plate detector using SSD mobilenet v2, Tensorflow Object Detection and face recognition.

毕设-基于深度学习的人脸识别

Real time multi face recognition

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The repository contains the Pytorch Implementation of the paper Age invariant face recognition and retrieval by coupled auto-encoder networks NeuroComputing, 2017, Chenfei Xu,

Gender/Race/Emotion classifications based on facial multi-attribute detection were realized through data pre-processing, face detection and extraction by OpenCV, developing training models through “Fisherfaces” and “Convolutional Neural Network” approaches by TensorFlow and Keras with accuracy of 98.44%, 84.24%, and 70% respectively. A web app was developed for better demonstration and further model optimization by expanding training dataset and user labeling, adopted Nginx to serve web server and deployed on DigitalOcean.

Advance Face Recognition Student Attendance System Project in Python OpenCV With Tkinter GUI & SQLite Database. Features of Project: real time face detection 1] Home Page i) Student management system (Save, Take Photo Samples, Update, Delete, Clear) ii) Train Photo Samples iii) Take Attendance with Face Detection iv) Attendance Report (Excel file & SQLite database) v) Developer Page vi) Help Desk.

Face recognition python project

This repository contains the Pytorch implementation of the paper Face Recognition with Contrastive Convolution, Chunrui Han, Meina Kan, Xilin Chen published in ECCV 2018.

High Performance Face Recognition With Green Box! Face Recognition Pro 2020

Face Recognition Protocol, PoC, Solidity, IPFS, Ethereum, NodeJs, Python, TensorFlow

网易云课堂AI工程师实战项目：基于opencv进行人脸识别

The main purpose of the staff attendance module is to work with schools, companies, etc. It is to provide a quick and easy solution in places where there are many entrances and exits or where attendance needs to be controlled. To achieve this goal, the tools it uses are face detection and recognition as well as QR code analysis.

This project visualize face using opencv (haarcascade) and store it,After that it load each face data one by one and tells us who is present in front of screen using webcam that totally depend on your generated face data,for this project you need library such as opencv ,sklearn to import knn (here i code knn from scratch),face HaarCascade file which i hv attached with reprository

大三下参加中国计算机设计大赛获得国家三等奖

We will be using the haarcascades method to detect faces in real time

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ceng-407-408-project-face-and-iris-recognition created by GitHub Classroom

project-attendance-face-recognition created by GitHub Classroom

This project will record attendance in .csv file, in real time, by face recognition

Developed a deep novel coupled profile to frontal face recognition network incorporating pose as an auxiliary information via attention mechanism (i.e., implemented a pose attention module).