KFaceForUnity is a deep learning face recognition plugin:

1. Mobile platform offline face recognition solution, including face detection, face alignment, face normalization, face feature extraction and face search
2. 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.
3. Provide a face search sample.
4. Support Windows, Linux, MacOS and Android (more platform versions are available later).
5. Simple interface, low learning cost, can be applied to actual projects immediately, especially suitable for face attendance or face login authentication.
6. High face recognition accuracy, MobileFaceNet is up to 99.5%, fully available for face attendance
7. The model file is small, all models add up to only 13M.
8. The face database and test images in the face search sample are from the famous CASIA-Webface dataset.

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