Release notes for SentiVeillance 5.0 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.

April 26, 2017

Product revision: 164281

  • Fixed Activation Wizard offline license generation functionality.
  • Fixed a number of minor issues in various device modules.

March 23, 2017

Product revision: 162703

  • Fixed several bugs and issues.
  • Added VLC library support as an option to read RTSP and file video streams.
  • Upgraded Canon EOS version to support more newer devices.

December 5, 2016

Product revision: 158289

  • Fixed a number of minor bugs and issues.
  • Added VLC library support as an option to read RTSP and file video streams.
  • Updated Canon EOS module to support more newer devices.

October 18, 2016

Product revision: 156043

  • Fixed long delay in some scenarios when capturing from RTSP cameras.
  • Fixed a number of minor bugs and issues.
  • Facial feature points detection now uses a new, smaller data file for the algorithm, which is now more accurate; the new data file should be used now for all face extraction operations.

August 26, 2016

Product revision: 153687

  • Fixed video capturing from camera which could cause crash on Windows 10.
  • Fixed multiple minor bugs and issues.
  • Added Gradle support for all Java projects.

August 10, 2016

Product revision: 152948

  • Fixed issue with slow or failed attribute detection in video stream.
  • Fixed rare issues with incorrect zone entrance handling.

August 2, 2016

Product revision: 152527

The first release of SentiVeillance 5.0 SDK.

  • The new version of SentiVeillance incorporates the new VeriLook face recognition algorithm featured in MegaMatcher 9.0, providing five times higher accuracy in identifying full frontal faces and 10 to 15 times higher accuracy for unconstrained facial recognition than the previous release. The significantly higher accuracy for unconstrained facial identification is based on a smaller False Rejection Rate (FRR) at the same False Acceptance Rate (FAR) value.
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