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