This project was created by students of the University of Applied Sciences Munich. The goal is to raise awareness of discrimination through an interactive installation that demonstrates how AI-based discrimination works.
- Booth styled as a body scanner
- Camera for face detection
- Small touch display for face preview
- LEDs controlled via Arduino
- MAME arcade button as a USB joystick
- Thermal printer (we used EPSON TM-T20II) for printing receipts with QR code
- Python backend
- Flask for the web server
- DeepFace for face analysis
- PIL and win32print for printing
- qrcode for QR code generation
- Python 3.8 or higher
- Arduino IDE with the connected leds (see ledarduino.ino)
- Flask
- DeepFace
- Pillow
- pywin32
- qrcode
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Clone the repository:
git clone https://github.com/wiesty/invisible-privilege.git
cd invisible-privilege -
Install the dependencies:
pip install -r requirements.txt -
Ensure the printer is installed and configured:
- Change the
PRINTER_NAMEinbackend.pyto match your printer's name.
- Change the
-
Start the Flask server:
python backend.py -
The server analyzes the image at
img/captured_face.0.jpg. Ensure the image is present before calling the analysis. -
Start the touchdesigner File
main.toe
Edit the following layers to your needs:
videodevin1- camera to scan the face
joystick1- to start the process by pressing b1
audioplay1 & audioplay2- sounds that will be played after the process
arduino- com port of the connected arduino
-
The touchdesigner file will call the flask backend to analyze the camera/image and print the results.
This project is licensed under the MIT License. See the LICENSE file for details.