Release notes for SentiVeillance 4.0 SDK

List of releases:

See also the SentiVeillance 8.0 SDK release notes for the newer versions and the list of release notes for other versions.

December 7, 2016

Product revision: 158368

  • Fixed a number of issues related to liveness detection.
  • Fixed view drawing issues on Windows 7 that caused GDI+ errors.
  • Fixed a number of bugs and issues in samples and ActivationWizard.
  • Added WindowsMediaFramework support for Windows 10.
  • Updated license file extension check to be case insensitive.

May 19, 2016

Product revision: 148796

  • Fixed issue with NBiometricTask.Detect used with video frames deadlocks.
  • Improved video capturing on modern versions of Windows.
  • Updated Mobotix camera module: CTX values from camera now can be read from "Mobotix.CTX" string property on NImage.Info (from received video frame image).
  • Updated work with more camera models for video capturing from RTSP.

March 18, 2016

Product revision: 146188

  • Fixed a number of minor bugs and issues.
  • Improved performance of video capturing on Windows 10 and Windows Market applications.

February 25, 2016

Product revision: 145310

  • Added SentiVeillance configurator tool source to the distribution.
  • Added support for Universal Windows Platform applications.
  • Added DevicesSampleWX into the SDK.
  • Updated Obtain and ObtainComponents licensing methods to try to provide useful information why the fail occurred in case license cannot be obtained. Please note that application code may need to be prepared to handle an error with a description message so that application would not crash in case some license is not critical for application to work.

December 22, 2015

Product revision: 141993

  • Fixed a number of minor bugs and issues.

December 1, 2015

Product revision: 141103

The first release of SentiVeillance 4.0 SDK. The product name changed to SentiVeillance SDK from VeriLook Surveillance SDK.

  • Added camera calibration for ground plane definition,
  • Added user pre-defined object classification based on tracked object area and speed.
  • Added age estimation by face.
  • Improved face detection and tracking speed,
  • Improved facial recognition accuracy.
  • Improved pedestrian detection and motion tracing.
  • Improved tracking of moving objects with adjustable motion sensitivity,
  • Improved motion handling for objects or people that are very close to the camera and take up more than 20% of the field of view.
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