https://github.com/yuweaec/face-recognition-attendance-master

We have developed a real-time face recognition and attendance system using Python and various libraries such as OpenCV, Face_recognition, and NumPy
https://github.com/yuweaec/face-recognition-attendance-master

apertre-24 apertre24 csv face-recognition-python ml numpy open-source opencv python

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We have developed a real-time face recognition and attendance system using Python and various libraries such as OpenCV, Face_recognition, and NumPy

Host: GitHub
URL: https://github.com/yuweaec/face-recognition-attendance-master
Owner: YuweAEC
License: mit
Created: 2023-09-23T18:06:32.000Z (almost 2 years ago)
Default Branch: main
Last Pushed: 2024-06-24T05:18:31.000Z (about 1 year ago)
Last Synced: 2024-06-24T06:26:46.184Z (about 1 year ago)
Topics: apertre-24, apertre24, csv, face-recognition-python, ml, numpy, open-source, opencv, python
Language: Python
Homepage:
Size: 880 KB
Stars: 7
Watchers: 2
Forks: 9
Open Issues: 0
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

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# Face Recognition Attendance Master

Automate attendance tracking using facial recognition technology.

## Overview

This project simplifies attendance management by leveraging facial recognition. It captures and matches individuals' faces, records their presence, provides real-time monitoring, generates attendance reports, and seamlessly integrates with other systems. The system ensures accuracy, security, and privacy compliance.

## Features

- **Facial Recognition**: Recognizes individuals based on their facial features.
- **Real-Time Monitoring**: Provides real-time attendance tracking.
- **Attendance Reports**: Generates attendance reports for further analysis.
- **Integration**: Easily integrates with other systems and databases.
- **Accuracy**: Prioritizes accurate attendance tracking.
- **Security**: Ensures data security and privacy compliance.
- **User-Friendly**: Designed for ease of use.

## Technologies Used

- Python
- OpenCV
- Face Recognition Library
- CSV for Data Storage
- Numpy

## Getting Started

1. **Clone this repository to your local machine.**
2. **Install the required Python libraries using `pip install -r requirements.txt`.**
3. **Add images of individuals to the "Person_Images" directory.**
4. **Run the main program (`attendance.py`) to start capturing and tracking attendance.**

## Usage

1. Execute `attendance.py`.
2. The program will use your webcam to recognize faces and mark attendance.
3. Attendees' names and timestamps will be recorded in the "Attendance.csv" file.

## Contributors ✨

Thanks goes to these wonderful people 💜

_{Yuvraj Singh}

🚧✍️🖥️

_{Manwendra Mahato}

💻

_{Nillotpal Mishra}

💻

_{Shubhojyoti Das}

💻

_{Arghadip Manna}

💻