https://github.com/musadiqpasha/face_recognition

A Simple GUI for Face Detection and Recognition using OpenCV .
https://github.com/musadiqpasha/face_recognition

attendance-system attendance-using-face-recognition customtkinter face-recognition opencv-python python3 tkinter

Last synced: 6 days ago
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A Simple GUI for Face Detection and Recognition using OpenCV .

Host: GitHub
URL: https://github.com/musadiqpasha/face_recognition
Owner: MusadiqPasha
License: mit
Created: 2023-03-15T05:50:29.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2024-01-21T12:02:05.000Z (over 1 year ago)
Last Synced: 2025-01-14T06:32:03.314Z (9 months ago)
Topics: attendance-system, attendance-using-face-recognition, customtkinter, face-recognition, opencv-python, python3, tkinter
Language: Python
Homepage:
Size: 6.54 MB
Stars: 22
Watchers: 2
Forks: 6
Open Issues: 1
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

# Face based Attendance System using PYTHON and openCV

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)

### Steps to Follow
- Download or clone my Repository to your device
- type `pip install -r requirements.txt` in command prompt(this will install required package for project)
- Put a single high quality image of person in `ImagesAttendance` folder in a project folder.
- Run `attandance.py` file

### Project flow & explaination
- After you run the project you have to register your face so that system can identify you, so click on `Add a new face`
- After you click a small window will pop up in that you have to enter you Name and then press OK.
- After clicking `OK` button A camera window will pop up in 3 seconds and it will take a pic of yur face and show it to you after that press any key and stored in the folder named `ImagesAttendance`.
- You can detect and recognize faces from live webcam feed also using the `Scan Face (Webcam)`
- The higher the quality of Image u put in `ImagesAttendance` , the better it will perform while recognising the face , mae sure only your FACE is visible in the given image and exclude any background.
- The folder `Show Scanned Images` contains the images which the program recognizes.
- You can delete the iamges using `Delete a face` button , u can also select multiple images also.
- You can view the attendance after clicking `Open Attendance` button. It will show record in tabular format.

### Screenshots

### Simple UI