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

Last synced: about 1 month ago
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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 (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-24T05:18:31.000Z (6 months ago)
• Last Synced: 2024-06-24T06:26:46.184Z (6 months 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

      

      
💻

    

  

Check out the cool [License](LICENSE) for this repository.