LAOD

This is the final project of Intel AI for Youth Program. LAOD (Library Automatic Object Detection) is an AI that is used for data inputting about person who will borrow the book and which book that he/she will borrow. This is more efficient rather than inputting data manually.

Usage

• To add datasets, run the file named faces-list.py, fill the ID and the system will automatically open the camera and take the face photos of 250
• To train the datasets and create all of bottlenecks files, run command 1 which is in the file named commands-needed.txt
• To test the model (CLI), run command 2 which is in the file named commands-needed.txt
  note: fill --image argument with your image path
• To test the model (GUI), run streamlit run app.py and open link http://localhost:8501/ on your browser

Built With

• Haarcascades - Face detection
• Tesseract - Text detection
• Streamlit - GUI
• Tensorflow

Contributors

• Dafa Nurul Fauziansyah - Github
• Ilham Shiddiq - Github