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https://github.com/qianyantech/kfaceforunity

KFaceForUnity is a deep learning face recognition plugin for Unity. It`s a mobile platform offline face recognition solution, including face detection, face alignment, face normalization, face feature extraction and face search
https://github.com/qianyantech/kfaceforunity

dlib face-recognition mobilefacenet offline-face-recognition unity3d unity3d-plugin

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KFaceForUnity is a deep learning face recognition plugin for Unity. It`s a mobile platform offline face recognition solution, including face detection, face alignment, face normalization, face feature extraction and face search

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**KFaceForUnity** is a deep learning face recognition plugin:

- **Mobile platform offline** face recognition solution, including face detection, face alignment, face normalization, face feature extraction and face search
- Using the Dlib and MobileFaceNet face models, the speed is very fast, and it takes only a few hundred milliseconds to complete the entire face recognition on the mobile phone.
- Provide a face search sample.
- Support Windows, Linux, MacOS and Android (more platform versions are available later).
- Simple interface, low learning cost, can be applied to actual projects immediately, especially suitable for face attendance or face login authentication.
- High face recognition accuracy, MobileFaceNet is up to 99.5%, fully available for face attendance
- The model file is small, **all models add up to only 13M**.
- The face database and test images in the face search sample are from the famous CASIA-Webface dataset.

You can download this plugin from Unity Asset Store URL: https://assetstore.unity.com/packages/slug/139510

You can view the demo video from this: https://www.youtube.com/watch?v=6z1VdGJtnbg

If you have any problem during development, please contact:`kfaceforunity@kignis.com`