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https://github.com/navneetguptacse/face-recognition-atd.mgnt
A lightweight and efficient real-time face recognition attendance management system, automating attendance tracking with accuracy and convenience.
https://github.com/navneetguptacse/face-recognition-atd.mgnt
automation face-recognition firebase realtime
Last synced: 6 days ago
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A lightweight and efficient real-time face recognition attendance management system, automating attendance tracking with accuracy and convenience.
- Host: GitHub
- URL: https://github.com/navneetguptacse/face-recognition-atd.mgnt
- Owner: navneetguptacse
- Created: 2023-09-27T12:13:26.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-28T11:48:19.000Z (about 1 year ago)
- Last Synced: 2024-11-13T03:09:39.539Z (6 days ago)
- Topics: automation, face-recognition, firebase, realtime
- Language: Python
- Homepage: https://github.com/navneetguptacse/face-recognition-atd.mgnt
- Size: 358 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## Automated Attendance System with Face Recognition
This is a real-time attendance management system that uses face recognition to automate the attendance tracking process. It allows you to register your face, mark your attendance, and download attendance records.
## Getting Started
Make sure you have the required Python packages installed by running the following command:
```
pip install -r requirements.txt
```
## Usage
1. Register Your Face
- Run the application: streamlit run app.py
- Select "Register Face" from the sidebar.
- Enter your ID and name.
- Click the "Capture" button to register your face.
- Your face will be captured using the webcam, saved, and uploaded to Firebase.
2. Mark Attendance
- Run the application: streamlit run app.py
- Select "Mark Attendance" from the sidebar.
- Your face will be captured using the webcam.
- If recognized and not marked in the last hour, your attendance will be marked.
3. Download Attendance Records
- Run the application: streamlit run app.py
- Select "Download Attendance" from the sidebar.
- You can download the attendance records in CSV format.
## Requirements
Before you can run this project, ensure you have the following software and packages installed:
- [`Python`](https://www.python.org/downloads/): You will need Python 3.7.6 or later version to execute the code.
- [`Firebase Admin SDK`](https://pypi.org/project/firebase-admin/): Required for Firebase integration.
- [`Streamlit`](https://pypi.org/project/streamlit/): Used for creating the web-based interface.
- [`OpenCV Python`](https://pypi.org/project/opencv-python-headless/): Necessary for image and video processing.
- [`Face Recognition`](https://pypi.org/project/face-recognition/): Used for face recognition tasks.
## Note
- The Firebase service account key (serviceAccountKey.json) is essential for Firebase integration and should be placed in the appropriate location.
- The utils directory contains additional Python modules used by the application.
`@Mr Navneet Gupta ([email protected]) :: 26 September 2023`