Facial Training
Configuration
To use any Sybrin SDK you will need a Sybrin issued license. You can have a look at our licensing page to request a license.
Using the license provided you will need to build and instance of the SybrinFacialRecognitionConfiguration class that will help with configuring the SDKs' behavior.
For example:
To see the full range of configuration available please visit the SybrinFacialRecognitionConfiguration page
Calling feature
Did you know that you are able to pre-load all components needed for training and authentication? By using the Load Model feature found on the SybrinFacialRecognition class you are able to download previously trained models and initialize the machine learning components for a smoother start up!
To start the facial recognition training process you will need to get an instance of the SybrinFacialRecognition class using the configuration built earlier. With this object you will be able to call the trainFace
method, which takes an identifying string as a parameter. The identifier is used to associate the trained recognition model with the user. The process works best when the identifier is unique to each user.
When the model is trained it is uploaded online where Sybrin's AI Superbots can keep it safe. Once the model is trained, you are able to download it at a later date.
Finally you can register for the 3 different callbacks right on the method call.
For example:
Sybrin does not provide user management for the identifiers that are used to train and recognize on a specific license key. The proper management and storage of unique identifiers is the sole responsibility of the developer.
Subscribing to any of the callbacks on the trainFaces
method is optional.
Handling callback responses
There are 3 different callbacks that can be subscribed to. They are as follows:
OnSuccessListener
When the SDK has completed the liveness detection process the result will be posted to the OnSuccessListener.onSuccess
callback. The FacialTraningModel is returned as a result.
If the model failed to upload for whatever reason you can use the uploadModel
method to attempt another upload. You can also check the upload status of the trained model.
For example:
Uploading model
If for some reason the model failed to upload during the normal operations of the SDK you can upload it at a later time. To check whether the model was upload use the isUploaded
method.
For example:
OnFailureListener
When the SDK encounters an error a FacialRecognitionException is posted to the OnFailureListener.onFailure
callback. The FacialRecognitionException will contain all the needed information to help solve the issue causing the error.
For example:
If you would like to report a bug, contact us!
OnCancelListener
When the scanning process is interrupted by the user by pressing the back button the SDK will post a response to the OnCancelListener.onCancel
callback. This callback has no return value.
For example:
Full example
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