This is a simple showcase project, that detects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.
- Xcode 9
- iPhone 6s or newer
- Machine-Learning model
To create your own machine-learning model, you can read our blog post "How we created our Face-Recognition model"
The short version is:
- We trained a model in the AWS using Nvidia DIGITS
- Took a couple of hundred pictures of each person, and extracted the faces
- Also added an "unknown" category with differnent faces.
- Used a pretrained model fine-tuned for face-recognition.