Implementation of PCA/2D-PCA/2D(Square)-PCA in Python for recognizing Faces: 1. Single Person Image 2. Group Image 3. Recognize Face In Video

毕设-基于深度学习的人脸识别

Face Recognition Library

Employee Monitoring Registration (Face Recognition and Detection) This is a complete face recognition project with a few clicks the application has the capability to collect datasets using a webcam, train itself and do predictions in real-time.

Real-time face-recognition program. Have fun with OpenCV-python.

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

A face recognition project based on transfer learning technique using user's face as a real-time dataset to enhance and add a new security layer in action.

FACE DETECTION AND ATTENDENC-- Face detection is a computer vision problem that involves finding faces in photos. It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier

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Face Recognition with VGG and Resnet model by using Transfer learning.

Presentetn link : https://bit.ly/3a21ozU & Google Drive folder link below

Project on Face recognition and attendence system

Introduction Overview of the System The purpose of this system is to build an attendance system which is based on face recognition techniques. Here face of an individual will be considered for marking attendance. During each session, Faces will be detected from live streaming video or webcam. The faces detected will be compared with Images present in the dataset/folder. If match is found, attendance will be marked for the respective student. At the end of each session, list of present students will be marked and their name will be Inserted in the excel sheet on real-time basis. Traditional method of attendance marking a tedious task in many schools and colleges. It is also an Extra burden to the faculties who shown attendance by manual while calling the names of students Which might take about 5 minutes of entire session, face recognition is as important as biometric. Background: Existing System Conventional methods are still being followed to mark attendance in many schools and colleges which is a more time-consuming task. The most common conventional methods being practiced in routine lifestyle are, the student is supposed to sign the attendance sheet manually, which is passed around the classroom while the lecturer is giving the lecture, sometimes this particular approach could undoubtedly allow the students to cheat about their attendance, where a student present in the class may sign for a physically absent student. Uncommonly, this attendance sheet could easily be either misplaced or lost with/without the lecturers knowledge. Another stricter conventional method which is more commonly used in practice is the roll call system, where the student is supposed to answer to his/her roll call made by the lecturer, sometimes this method also allows the student to cheat about their attendance by answering the roll call as present for a student who is not available in the class which is again a big task. Motivation: Manual Student Attendance Management system is a process where a teacher concerned with the particular subject need to call the students name and mark the attendance manually. Manual attendance may be considered as a time-consuming process or sometimes it happens for the teacher to miss someone or students may answer multiple times on the absence of their friends. So, the problem arises when we think about the traditional process of taking attendance in the classroom. To solve all these issue so we go with Face Recognition Smart Attendance System(FRAS).

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This Repository contains Code for Facial Recognition and Identification using Open CV and Python with Tkinter GUI interface.

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KTU Final Semester Project - Automated Attendance tracking system

A real-time face recognition system designed for automated attendance. This project uses Python, CV, and TensorFlow/Keras to build a robust recognition pipeline. It employs an MTCNN model for accurate face detection and a pre-trained FaceNet model to generate unique facial embeddings. An SVM classifier is then trained on these embeddings.

Проект для курсовой работы по дисциплине "Методы систем искусственного интеллекта"

Face-track:Facial Recognition Automated Check-in System is an automated check-in system which uses the face-recognition algorithms to register a user and then implies a 2 step verification, i.e. blink detection and user-id verification during the login.

The purpose of the attendance monitoring system using face recognition is to ease the attendance process which consumes lot of time and efforts; it is a convenient and easy way for students and teacher. The system will capture the images of the students and using face recognition algorithm mark the attendance in the sheet.

an easy face detection in django using opencv

Missing Person Database & Face Recognition

An attendance management system using face recognition and machine learning is a system that helps many schools and colleges to mark students' attendance effortlessly and without missing any students

"Explore our open-source Facial Recognition App! 🚀 Utilizing advanced technology for secure identity verification. Join us in building a privacy-focused, user-friendly solution. Contribute and shape the future! 👤💻 #FacialRecognition #OpenSource"

FaceRecognitionProject

iOS - FaceRecognitionProject

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AI Facial Recognition project using Tensor Flow. Available online at awesome-turtle.surge.sh