Release Notes

This page provides the Sense ID Silent Liveness Detection SDK iOS.

2022/06/08

V2.6.3

  • Fixed several bugs

2022/01/12

V2.6.2

  • Updated anti-spoofing algorithm to improve the accuracy of liveness detection.

  • Code optimization

2021/09/26

V2.6.0

  • Code optimization

  • Updated the sample to support threshold settings

2021/06/11

V2.5.0

  • Added return protobuf signature information

  • Added the signature information of the original image

  • Added the signature information of returning images

2021/04/20

V2.4.3

  • Updated anti-spoofing algorithm to improve the accuracy of liveness detection.

2020/12/07

V2.4.0

  • Updated anti-spoofing algorithm by adding dimensional detection of strong light.

    *Illumination detection and blurriness detection are turned off by default. Please turn it on manually.

2020/10/30

V2.3.1

  • Fixed several bugs to improve stability.

2020/10/14

V2.3.0

  • Updated anti-spoofing algorithm to improve the accuracy of liveness detection.

  • Added a setting that requires the eyes to open in the returning images.

2020/08/14

V2.2.0

  • Updated anti-spoofing algorithm to improve the accuracy of liveness detection.

  • Optimized the SDK internal processing logic to improve usability.

  • Added the illumination condition detection function.

  • Added code to change face frame in the sample.

  • Compatible with iOS 14.

2019/09/04

V2.1.0

  • Optimized the SDK internal processing logic to improve stability.

2019/04/01

V2.0.0

  • Optimized iOS error handling logic.

  • Optimized the interface consistency.

2018/12/18

V1.11

  • Added re-detection interface.

  • Fixed Sample UI.

  • Updated anti-spoofing algorithm to improve the accuracy of liveness detection.

  • Refactoring of the model loading related interfaces.

2018/07/25

V1.10

  • Reduced the SDK incremental volume.

  • Updated the underlying algorithm to improve efficiency.

2018/06/14

V1.9

  • Reduced the installation package increment.

2018/05/16

V1.8

  • Optimized the project structure and integration experience.

  • Fixed the problem for phones with the aspect ratio of over 2:1, which are easy to lose track.

  • Adjusted adaptation of Sample UI on iPhone X.

2018/04/20

V1.7.1

  • Changed the name of the enumeration value of SilentLivefaceErrorType.

2018/01/12

V1.7

  • Updated model to improve the accuracy of blocked face detection.

  • Added error prompts for eye, nose. and mouth blockage.

  • Added return of request_id to facilitate record visits.

  • Added the pass condition for silent liveness detection will return an error code when the setting is incorrect.

  • Added a sample that stores the frame selection image locally in order to facilitate the recording of the issues of liveness detection.

2017/10/10

V1.6

  • Customized the judgment conditions of the face distance.

  • Added camera orientation setting parameters for iOS input interface, supports external images/camera forwarding.

2017/09/19

V1.5

  • Updated the liveness detection model to increase the detection rate of spoofing attacks.

  • Supported blocked face detection, such as by sunglasses or face masks.

  • Released interface to configure path conditions for silent liveness detection to allow customization of the shortest detection time.

  • Added state detection for faces that are completely within the screen to ensure the integrity of the face image collected by liveness detection.

  • Improved error code consistency.

2017/07/14

V1.4

  • Updated the underlying algorithm library and model.

  • Improved the passing rate for the correct person and the detection rate for spoofing.

2017/04/17

V1.3

  • Modified the delegate for successful liveness detection. Successful liveness detection will return the data_id, which is then made available to the cloud face comparison interface.

  • Added an interface to return the face frame information of the result image to assist users to crop the face images.

  • Optimized the detection of face distance when using the screen horizontally.

  • Updated the model to improve the accuracy of face anti-spoofing detection.

2017/03/10

V1.2

  • Updated the underlying algorithm library.

  • Updated the model to improve the accuracy of face anti-spoofing detection.

2017/02/20

V1.1

  • Added the online silent liveness detection SDK.

  • Fixed the conflict when multiple SDKs are integrated together.

  • Improved the consistency of processing methods for face status, distant face, close face, and track loss.

2016/11/11

V1.0

  • Provided a silent liveness detection solution to determine whether it is a correct person through facial hacking detection.

  • Modified to collect high-quality face images during the liveness detection process.

  • Modified return face image and binary encrypted data to be used with server interface.

  • Added return face status information for each frame.

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