Face recognition attendance system github python. Streamlining attendance management for modern education.

Face recognition attendance system github python It allows users to: Capture face images of students and save them. It provides a web-based interface for managing students, marking attendance, and viewing attendance records. It covers areas such as facial detection, alignment, and recognition, along with the development of a web application to cater to various use cases of the A face recognition attendance system built using Python. The system uses a camera to capture images of individuals and then compares them with the images in the database to mark attendance. The data is maintained in MongoDB and CSV at the backend. The system captures faces using a webcam, identifies the person using a trained machine learning model, and logs attendance in real time. The Attendance Management System is a Python-based application that leverages face recognition technology to automate the process of tracking student attendance. This project simplifies the attendance tracking process by automating the task using facial recognition technology. It leverages popular libraries such as OpenCV and dlib to detect and recognize faces in images and videos. It uses OpenCV and the face_recognition library to detect and recognize faces in real-time through a webcam. Jul 5, 2025 · After building and testing the face recognition attendance system in Python, I realized it could go beyond a simple desktop application — it can become a fully functional physical device using a This blog post will guide you through the process of creating your own facial recognition attendance system using Python, the Flask web framework, and the powerful OpenCV library. For Sep 23, 2024 · This project is a Face Recognition-based Attendance System that uses a webcam to capture images, recognize faces in real-time, and record attendance automatically. Django framework is used to develop the front end for the This project implements a face recognition-based attendance system using Python. It uses facial recognition to track and manage student attendance, storing data in a Firebase Realtime Database and using Firebase Storage to manage student images. Developed the core face recognition algorithm using Python and OpenCV, designed a user-friendly web interface, integrated the system with the attendance database, and optimized accuracy. In this python project, I have made an attendance system which takes attendance by using face recognition technique. The system ensures accurate identification with high precision using a trained deep learning model. In this project, we introduce a face recognition attendance system created using OpenCV and Python. Face Recognition Attendance System This project is an implementation of a Face Recognition Attendance System using Python, OpenCV, Firebase, and other libraries. authentication verification onboarding feature-extraction biometrics face-recognition face-detection gender-recognition face-analysis face-tracking face-verification age-estimation on-premise id-verification face-matching face-attributes kyc-service face-mask-detection face-attendance-system ekyc-verification Updated on Apr 9 Python Sep 25, 2023 · Learn how to implement a cutting-edge Face Recognition Based Attendance System using Python, revolutionizing traditional attendance tracking methods. Facial Recognition Based Attendance System using Python, Tensorflow, Keras, SqlLite3, Tkinter, OpenCV for companies, schools, colleges, etc. Based on the class database, we It effortlessly captures student images using ESP32-CAM, transmits them wirelessly to a computer via Wi-Fi, and employs a Python script to detect and log their faces along with timestamps in an Excel sheet. Train a model to recognize faces. This system includes multi-camera support, real-time attendance logging, and an intuitive dashboard. The system stores records in a database for easy tracking. It is designed to automate the process of attendance tracking in classrooms, offices, or any other organization by recognizing faces and marking attendance accurately. Built in python using Tkinter as UI and MySQL as database - ananta15/SmartAttendance A Python-based real-time face recognition attendance system using OpenCV and the face_recognition library. This project automates the attendance process by detecting and recognizing faces through a live webcam feed and logging attendance records into an SQLite database. This system detects faces, matches them with stored embeddings, and logs attendance in Redis. A python GUI integrated attendance system using face recognition to take attendance. After training click on Automatic Attendance ,it can fill attendace by your face using our trained model (model will save in TrainingImageLabel ) it will create . It automates the process of recording attendance by recognizing faces in real-time through a webcam feed. The system is built using python libraries dlib and face_recognition. The system leverages Flask for the backend API, MySQL for database management, and face_recognition library for facial recognition capabilities. It utilizes OpenCV for image processing and a pre-trained deep learning model for accurate face recognition. Accuracy and Reliability: Reduces errors from human mistakes or fraudulent marking of attendance. Implement a dual-mode attendance system using face recognition and card-based methods with a modern Gradio interface. The system captures video from a webcam, recognizes faces, and updates attendance information in a csv file. GitHub Gist: instantly share code, notes, and snippets. This project is a Facial Recognition-based Attendance Management System developed using Python, OpenCV, and MySQL. This is a web application built with Python and Flask that implements a face recognition-based attendance system. Train this by clicking dataset button click on recognize + attendance button to start recognizing and marking attendance. It The face recogntion system is used to train the faces of employees and detect them when they walk past the camera. The Face Recognition Attendance System is a Python-based project developed using Tkinter and Convolutional Neural Networks (CNN). This project implements a smart attendance system using face recognition technology. Click on Attendance Sheet to view current date attendance sheet. This project implements a Face Recognition Attendance System using OpenCV, Tkinter, and MySQL. This project is a comprehensive attendance system that leverages the power of face recognition to identify individuals and mark their attendance. It is built using Python, OpenCV, and the face_recognition library. An image of a class could be given as input and system detects indivuals in the image. , opencv, sklearn, numpy, dlib, pil. The system stores attendance data in a CSV file for later use. A Facial recognition Attendance system using opencv This repository contains code for facial-recognition-Attendance-System using openCV and python with a tkinter gui interface. - Facial Recognition Attendance System using Python, OpenCV, and face_recognition libraries. It utilizes the Tkinter library for the GUI, OpenCV for image processing, and deep learning models for face recognition. This project involves building an attendance system which utilizes facial recognition to mark the presence, time-in, and time-out of employees. Features real-time updates, password-protected registration, and automatic daily CSV generation. About A Python-based attendance automation system that uses face detection and recognition to track and manage attendance efficiently. The system can recognize faces in a video feed, update attendance records, and display relevant student information. The system employs the face_recognition library to detect and recognize individuals and logs attendance into a MySQL database. Face recognition-based attendance system is a process of recognizing the faces of the students while taking attendance by using face bio-metrics based on high – definition monitor video and other information technology. Automating attendance using Face Recognition via Neural Networks The entire process of marking attendance in educational institutions, workplaces, when automized is the best and most cost effective way of making it fool-proof and better. I have also intergrated it with GUI (Graphical user interface) so it can be easy to use by anyone Feb 24, 2025 · About Face Recognition Attendance System – A Python-based real-time attendance system using OpenCV, LBPH, Tkinter, and MySQL. Face recognition is one of the The main objective of this project is to develop a web-based automated multiple student face recognition attendance system using the deep learning library face recognition. In this article, I’ll walk you through how I built a real-time face recognition attendance system using Python, Flask, OpenCV, and the face_recognition library. It can be used as an attendence system for the employees. The Face Recognition Attendance System is a Python-based application that uses OpenCV, Tkinter, and other libraries to take images of students, train a machine learning model on the images, and track student attendance based on face recognition. The project carried out with the help of the resources and links mentioned below - Installation of OpenCV (Open source Computer Vision project) on raspberry pi B+ using the instructions given in below links Automatic Attendance System. Utilizes OpenCV for face recognition, stores data in CSV files, and MySQL. This project is a facial-recognition based attendance system built using Raspberry Pi, Python, and MySQL. UI is created using Tkinter Smart attendance system built using React and The Face Recognition Attendance System is an AI-powered smart attendance solution built using Python, OpenCV, and MySQL. Streamlining attendance management for modern education. Face Recognition Attendance System Based On Opencv, Python and Java Programming Language. This project is based on the deep learning model. It automates attendance by detecting and recognizing faces in real-time, offering efficient attendance management. - harshpreet14/IDC_40. About This project is a Python-based Face Recognition Attendance System that automates the process of marking attendance using facial recognition technology. It captures images, trains a face recognition model, and then uses it to recognize faces and mark attendance in real-time. The system's goal is to automate attendance tracking by recognizing faces captured through a camera. Includes a Django web interface for viewing attendance records. Developed in Python with OpenCV and Flask, the system ensures efficiency, security, and real-time operation. Face Detection-Based Attendance System This project implements a real-time facial recognition-based attendance system using Python and OpenCV. The Face Recognition-Based Attendance System is an AI-powered application designed to automate attendance management. This project is a simple and efficient attendance system that uses real-time face recognition to mark attendance. About Advance Face Recognition Student Attendance System Project in Python OpenCV With Tkinter GUI & SQLite Database. It is the system to document the time your employees/students work and the time they take off. csv file of attendance according to time & subject. Capture faces for training, use Haarcascades for detection, and employ the LBPHFaceRecognizer for recognition. This project uses Python to perform face recognition. I have using the PyCharm IDE for making project. This system captures a person's face, identifies them using a pre-trained face recognition model, and logs their attendance into a CSV file with timestamps. It Feb 4, 2025 · Face Recognition Attendance System Overview This project is a real-time Face Recognition Attendance System using OpenCV and face_recognition in Python. An attendance system which could automatically mark attendance from iamges of students. About The main purpose of this project is to build a face recognition-based attendance system to automate the process of taking attendance, it can identify individuals by analyzing their facial features captured through images or video streams. Database is updated to mark attendance to students preset This project involves building an attendance system which utilizes facial recognition to mark the presence, time-in, and time-out of employees. A simple, modern and scalable facial recognition based attendance system built with Python back-end & Angular front-end. In this project I have using the dlib library , face_recognition library, open CV, numpy library and more libraries to run this project successfully. The system uses OpenCV for image processing, face recognition for facial feature extraction, and NumPy for numerical computations. Jul 16, 2025 · About Created a Face Recognition Attendance System using Python and OpenCV to automatically mark attendance by detecting and recognizing faces. About A simple python script that recognises faces and mark attendance for the recognised faces in an excel sheet. This project is a face recognition-based Smart Attendance System developed using Python and OpenCV. - onkar69483/AttendRx-Face-Recognition-Attendance-System We seek to provide a valuable attendance service for both teachers and students. It effortlessly captures student images using ESP32-CAM, transmits them wirelessly to a computer via Wi-Fi, and employs a Python script to detect and log their faces along with timestamps in an Excel sheet. It supports real-time webcam recognition and group photo-based attendance, utilizing OpenCV, DeepFace, Tkinter, and PIL for efficient and user-friendly performance. Teacher/Professor click the picture of whole class in one go and upload it through our app installed on their smartphone. 📅👩💻 Explore the project on GitHub! About Python-based attendance system using face recognition, with a Tkinter GUI for ease of use. It covers areas such as facial detection, alignment, and recognition, along with the development of a web application to cater to various use cases of the system such as registration of new employees, addition of photos to the training dataset, viewing Face Recognition Attendance System is a Python-based project that automates attendance tracking using face recognition. It is built using OpenCV, Dlib, and the Face Recognition library to ensure accuracy and efficiency. Develop an attendance system, saving attendance data with timestamps. A Face Recognition-based Attendance System built using Python, OpenCV, and Tkinter GUI. A facial recognition-based attendance system for the AUPP Attendance Management System Using Face Recognition. Attendance Management System Using Face Recognition This project involves building an attendance system which utilizes facial recognition to mark the presence, time-in, and time-out of students. It captures faces through a webcam, logs attendance in a CSV file, and provides a web interface t face-attendance-system Face attendance system using face recognition with Python ! This project focuses on a face recognition attendance system using Python. 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 fil… This is a face recognition attendance system using Python. A Python-based face recognition attendance system using OpenCV and face_recognition library. The system allows users to register their faces, mark attendance using face recognition, and view attendance records. This repository contains face recognition project for the AICTE internship on AI: TechSaksham This project, Attendance-Management-System-using-Face-Recognition, leverages face recognition technology to automate attendance marking. Project Overview The goal of this project is to build a web application that can manage and record attendance through facial recognition. Built during my internship at Indian Oil Corporation, Gujarat Refinery. AttendRx is a smart attendance system powered by ESP32-CAM. The model was trained using Keras Sequential layers and Softmax function at the output layer. The System built with Face Recognition using Inception Resnet (V1) models in pytorch, pretrained on VGGFace2 and CASIA-Webface datasets, also Anti-Spoofing models by Minivision. Attendance System using face recognition. After training click on Automatic Attendance ,it can fill attendance by your face using our trained model (model will save in TrainingImageLabel ) it will create . Create a folder named "images" in A powerful face recognition-based attendance system built with Django, utilizing deep learning models for secure and accurate face detection and verification. The application captures webcam feed to recognize faces and mark attendance in real-time, featuring a user-friendly GUI built with Tkinter. Start this project from firstpage. face recognition project in Python using OpenCV. Use code with caution. Jun 11, 2025 · In an era of increasing digital transformation, facial recognition is emerging as a modern and secure alternative to traditional attendance methods. This system uses computer vision and machine learning techniques to recognize faces from a live camera feed and log attendance. A Face Recognition-based Attendance System built using Flask, Python, OpenCV, and face_recognition. This project was inspired by the need for a contactless, automated attendance A Python-based attendance management system that utilizes face recognition technology to mark and log attendance automatically. This project leverages a pre-trained convolutional neural network (CNN) for accurate face recognition, aiming to simplify and automate the attendance process in educational or corporate environments. The Attendance Management System is a Python-based application that uses OpenCV for face recognition to record attendance. Project Abstract Face recognition technology has become widely used in many areas, such as security, surveillance, and human-computer interaction. Here’s a README file template for your face recognition project using PyQt5 and OpenCV: This project implements a face recognition-based attendance system using PyQt5, OpenCV, and SQLite. In this project firstly we will make the student record for making attendance later. It utilizes real-time facial recognition technology to replace traditional methods like roll calls or sign-in sheets, ensuring accuracy, efficiency, and convenience. The application allows users to train a model with face data and then use it to recognize faces and log attendance records into a database. Built with Flask, OpenCV, MySQL, and Face Recognition libraries, this web-based app allows students to register with a photo and log attendance seamlessly through facial scanning. Designed using Python with a Tkinter-based GUI, OpenCV for facial detection, and MySQL for backend storage. It leverages machine learning algorithms for real-time face detection and recognition, providing an automated and secure way to track attendance. Attendance system using face recognition. Train the model on the captured faces and implement real-time face recognition. Feb 23, 2015 · The "Face recognition attendance system" is a hardware prototype of a face recognition attendance system. py Create dataset by clicking create dataset button. Dlib is an open source library of machine learning, which contains many algorithms of machine learning and is very convenient to use. Built with Python, Flask, OpenCV, and Firebase, the system provides an efficient and automated solution to track attendance in various settings such as The Face Recognition Based Attendance System uses face recognition technology to automate student attendance tracking in educational institutions. Therefore, i have used the python language, including libraries, ie. Built with Flask, OpenCV, MySQL, and Face Recognition libraries, this web-based app allows students to register with a photo and Attendance system by face recognition using language java for front end and python for face recognition. Reduce manual process errors by provide automated and a reliable attendance system uses face recognition technology This repository contains Python code for a Multiple Face Recognition Attendance System using Deep Learning. A Python package appropriately named face_recognition wraps dlib’s face recognition functions into a simple, easy to use API. This project is developed using Rasberry pi, RPI camera , OpenCV and Python coding. It includes features for capturing images for training, real-time face recognition, and managing This project is a Flask-based web application that uses face recognition technology to automate the process of attendance marking. This project integrates OpenCV for real-time face detection, Tkinter for a user-friendly interface, and CSV for attendance data storage. Users can register This project is a face recognition-based attendance system that uses OpenCV and Python. Implement a dual-mode attendance system using face recognition and card-based methods with a modern Gradio interface. This project uses OpenCV for face detection and recognition, along with a user-friendly graphical interface built with Tkinter. This project uses Python, OpenCV and SQLite3 as database. Fully automated, UI operated. It covers areas such as facial detection, alignment, and recognition, along with the development of a web application to cater to various use cases of the system such as registration of new students Face Recognition Based Attendance Monitoring System using Python A python GUI integrated attendance system using face recognition to take attendance. - sonu275981/Face-Recognition-Attendance-System Attendance Management keeps track of your employee or students present/absent details. Initially, the system registers a user by capturing their facial image and associating it with their name. About This is the Python FYP Face Recognition Attendance System from the machine learning base By Teach Learn School. It allows you to register individuals by capturing face images, encode their facial features, and then automatically recognize them via webcam for attendance tracking. It detects faces from a live webcam feed, recognizes them against a predefined dataset, and logs the attendance of recognized individuals into a file. It This project involves building an attendance system which utilizes facial recognition to mark the presence, time-in, and time-out of employees. A Face Recognition Attendance System based on facial recognition built using Dlib library, OpenCV and Flask. 📅👩💻 Explore the project on GitHub! Face Recognition-Based Attendance System project with a team of four at FABTECH TECHNICAL CAMPUS. The system captures and processes facial images from a webcam, matches them with previously saved images, and marks attendance accordingly. The system is designed to work with a webcam to capture real-time images and match them against a preloaded database of known faces stored in a CSV file. Real-time face detection and recognition The Face Recognition Based Attendance System uses face recognition technology to automate student attendance tracking in educational institutions. Watch Demonstration Video Contribute to vaishnavisakunde/Face-Recognition-Attendance-System-using-Python development by creating an account on GitHub. The system allows for new registration of students, dataset creation, model training, retraining, and attendance marking. This project implements a Face Recognition-Based Attendance System using Python and OpenCV. The Face Recognition Automatic Attendance System that uses Local Binary Pattern Histogram (LBPH) and Haar Cascade classifier and take attendance in real-time. Features include role-based access, responsive web UI, and cloud-ready design with scope for mobile apps, IoT integration, and AI-driven analytics. It prevents proxy attendance, logs data securely, and generates reports. This GitHub repository contains a web-based Facial Recognition Attendance System built with Python language and Streamlit framework. This project is a Python-based face recognition attendance system that uses OpenCV, face_recognition, and pandas libraries to identify individuals and log attendance. It captures live video or images, matches them against a registered database of faces, and marks attendance in real-time. This project allows students or employees to register their face, train the model, and mark attendance automa AUPP Attendance Management System Using Face Recognition. Dec 26, 2024 · A real-time Face Recognition Attendance System built as a web application using Flask, Python, SQLite, and OpenCV. This makes proxy Description This Python project implements a basic face recognition system that can be used to mark attendance. In this digital era, face recognition system plays a vital role in almost every sector. Automatically marks attendance by recognizing faces in real-time via webcam and logs details into a CSV file. This project utilizes the face_recognition library for detecting and encoding facial features, OpenCV for real-time video capture, and MongoDB for storing student data. AUPP Attendance Management System Using Face Recognition. It covers areas such as facial detection, alignment, and recognition, along with the development of a web application to cater to various use cases of the Jan 18, 2025 · Automated Attendance: The face recognition system automatically marks attendance based on face identification, eliminating the need for manual intervention. It aims to simplify and automate attendance tracking in various environments such as educational institutions or offices. A real-time face recognition-based attendance system using Python, Streamlit, Redis, and InsightFace. python cli opencv csv camera numpy pillow pandas python3 pycharm attendance face-recognition face-detection lbph yagmail haar-cascade automail attendance-system haar-cascade-classifier shutil-python Updated on Jul 11, 2024 Python About A Smart Attendance System using Python, Flask, OpenCV, and SQLite to automate attendance with real-time face recognition. To check the attendance, student faces are captured from a real-time video stream and employs deep learning neural networks to check whether the detected student face matches anyone in the database, and (if yes) further We made a PYTHON based face recognition attendance system for school and Universities which works with following steps :- Teacher/Professor enters the class with an app (Created by us) installed in their smartphone with internet connectivity. It captures live video from a webcam, detects and recognizes faces, and marks attendance by saving the timestamp in a CSV file. It captures live video or images, matches them against a registered database of faces, and marks attendance in real-time A face recognition-based attendance system using Python libraries. gje diamu bwuor sxf jisnc bmjbj ctrupj evk eyk nli vvkegbygu snspub dtxws dpoy hrjidy