This project is a Face Recognition Attendance System developed using Python, OpenCV
, and face_recognition
. The system recognizes faces through your webcam and marks attendance for registered users. It saves the attendance data in a CSV file with timestamps and provides a GUI interface for user interaction.
opencv-python
face_recognition
numpy
tkinter
os
datetime
csv
logging
platform
subprocess
PIL
(for image file handling)You can install the necessary libraries using pip:
pip install opencv-python face_recognition numpy Pillow
Create known_faces
Directory:
Create a directory named known_faces
in the project root directory. This is where the photos of registered users will be stored.
Register New Users:
known_faces
directory.Run the System:
View Attendance:
Download Attendance:
Face_Recognition_Attendance_System/
├── known_faces/ # Folder containing user photos
│ └── JohnDoe/ # Subfolder for each registered user
│ └── john_doe.jpg # User's photo for recognition
├── attendance.csv # File to store attendance data
├── attendance_system.py # Main Python script (this file)
└── attendance_system.log # Log file to track system activity
known_faces
directory. Each user has their own folder, and photos are saved inside it.attendance.csv
file.opencv-python
: Used for capturing video frames from the webcam.face_recognition
: Used for face detection and encoding.numpy
: Required by face_recognition
for array manipulations.tkinter
: Used for building the graphical user interface (GUI).Pillow
: For handling images.This project is licensed under the MIT License - see the LICENSE file for details.
face_recognition
: The face_recognition
library provides a simple API for face detection and recognition.OpenCV
: The opencv-python
library helps to capture frames from the webcam and process the video.There are no models linked
There are no datasets linked