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AfterFall team, Senior Project , Real-Time Anti-spoofing Attendance checking System, using Computer Vision to Robust face recognition model and Attendance dashboard webcapp

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webcam-antispoofing - AfterFall team SP1:

Using python 3.9.5

install create python env bash command interminal:

brew install python@3.9  
python3.9 -m venv myenv
source myenv/bin/activate  # On macOS/Linux myenv\Scripts\activate  # On Windows
pip install -r requirements.txt
pip list # check all the library

if haing issue dlib library use this command

brew install cmake
brew install boost
brew install boost-python3
brew install jpeg

Then reinstall dlib

pip uninstall dlib
pip install dlib

Running the GUI python app

clone this repo

gh repo clone OwenYooYoo/webcam-antispoofing
cd webcam-antispoofing
pip install -r requirements.txt
python main.py

All Fuction

First page of this app:

image

Display attendanceCheck.csv:

image

Delete and Saving the face by using OpenCV and do augemention face image:

https://github.com/OwenYooYoo/AugmentationForDlibModel image

Liveness detection by detect the eye blinking:

image

Face recognition:

image

Detele All attendanceCheck.csv

image

webapp for the user

https://github.com/lorenzodlm/AfterFall-next

References:

https://github.com/ageitgey/face_recognition/blob/master/examples/facerec_from_webcam.py

https://github.com/ageitgey/face_recognition/blob/master/examples/blink_detection.py

https://www.datacamp.com/tutorial/face-detection-python-opencv

https://medium.com/@fareedkhandev/modern-gui-using-tkinter-12da0b983e22

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AfterFall team, Senior Project , Real-Time Anti-spoofing Attendance checking System, using Computer Vision to Robust face recognition model and Attendance dashboard webcapp

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