This project demonstrates face recognition using the FaceNet model. It provides functionality to register and recognize faces using embeddings generated by FaceNet.
The project consists of a Jupyter Notebook that:
- Registers Faces: Captures and processes images to create face embeddings and stores them in a database.
- Recognizes Faces: Captures an image, processes it to create an embedding, and compares it to the stored embeddings to identify the person.
- Python 3.x
- Required Python packages (listed in
requirements.txt)