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https://github.com/ramprasathmk/automatic-attendance-system-using-face-recognition
This project is ideal for implementing a real-time attendance system using facial recognition.
https://github.com/ramprasathmk/automatic-attendance-system-using-face-recognition
attendance attendance-system face-recognition face-recognition-attendance-system face-recognition-python python python3 python310
Last synced: 23 days ago
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This project is ideal for implementing a real-time attendance system using facial recognition.
- Host: GitHub
- URL: https://github.com/ramprasathmk/automatic-attendance-system-using-face-recognition
- Owner: ramprasathmk
- Created: 2024-08-17T16:41:18.000Z (5 months ago)
- Default Branch: master
- Last Pushed: 2024-10-25T15:06:11.000Z (2 months ago)
- Last Synced: 2024-12-11T11:07:29.427Z (23 days ago)
- Topics: attendance, attendance-system, face-recognition, face-recognition-attendance-system, face-recognition-python, python, python3, python310
- Language: Python
- Homepage:
- Size: 4.01 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Automatic Attendance System (Face Recognition)
## Description
- This project is developed in **Windows OS**.
## Working Principle
### 1. **Modules Imported:**
- `face_recognition`: Used for detecting and encoding faces.
- `cv2` (OpenCV): For capturing video and displaying the results.
- `numpy`: For numerical operations.
- `csv`: To write the attendance logs into a CSV file.
- `datetime`: To get the current date and time for logging.
### 2. **Camera Initialization:**
- The camera is initialized using OpenCV (`cv2.VideoCapture(camera)`), where the default camera is set to `0`. If an external camera is used, you can change this value.
### 3. **Loading and Encoding Known Faces:**
- Several face images (e.g., A, Surjith, Ramprasath, etc.) are loaded using `face_recognition.load_image_file()`.
- The faces are encoded using `face_recognition.face_encodings()` and stored in a list `known_face_encoding` for later comparison.
### 4. **Known Names:**
- The names corresponding to the known face encodings are stored in a list `known_faces`. These names are used to identify people when their faces are detected.
### 5. **Attendance Logging:**
- A CSV file is created with the current date (`data/YYYY-MM-DD.csv`) to log attendance.
- The program writes the names and the time of detection into the CSV file.
### 6. **Face Detection and Recognition Loop:**
- The script continuously captures frames from the camera feed.
- Each frame is resized to 25% of its original size for faster face detection.
- The frame is converted to RGB since `face_recognition` works with RGB images.
- Face locations and encodings are extracted from the frame.
- Each detected face is compared against the known faces using `face_recognition.compare_faces()` and `face_recognition.face_distance()`. The closest match is selected.
- If the face matches a known person, the name is displayed on the video frame, and their attendance is logged.
- If the face is not recognized, it is marked as "Unknown Person".
### 7. **Display and Exit:**
- The script displays the video feed in a window labeled "Attendance System". If a known face is detected, it displays the name along with "Present"; otherwise, it shows "Unknown Person".
- The loop continues until the user presses the "q" key, at which point the video capture is released, and the window is closed.
### Key Features:
- **Face Matching**: Recognizes and matches faces in real-time.
- **Attendance Logging**: Logs the name and the time of appearance in a CSV file.
- **Efficient Face Detection**: Uses downscaled frames to improve performance without compromising recognition accuracy.
[ins]: ./Installation.md
[pyn]: https://www.python.org/downloads/release/python-31011/
[pip]: https://pypi.org/project/pip/
[vsc]: https://code.visualstudio.com/download/
[pyc]: https://www.jetbrains.com/pycharm/download/
## For Installation Process
- Refer the [Installation.md][ins] file.
## Note
- Use the [Python 3.10][pyn] version.
- **Recommended Python Series** for the Execution.
## Tools
| Tools | Version | Check |
|---------|---------------|-------|
| Python | [3.10][pyn] | [✔] |
| Pip | [latest][pip] | [✔] |
| VSCode | [latest][vsc] | [✔] |
| PyCharm | [latest][pyc] | [✔] |
## Show your support
Give a ⭐ if you like this repository!
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