Change Log🔗

Changes in Eocortex 4.5.102🔗

12/02/2025

Video analytics

  • Added support for NVIDIA GeForce RTX 50xx video cards by neural network modules of analytics.

  • The operation of the License Plate Recognition and Object Classification and Counting modules of video analytics has been optimized.

    • Now, the same hardware can process more cameras with enabled modules.

    • The video card load limit at which frame skipping begins in the module (accuracy degradation) has been increased from 60-70% to 90-100% (provided that the CPU is also not loaded to maximum capacity).

  • Improved operation of the License Plate Recognition module:

    • The method for recognizing vehicle brands has changed — it is now recognized by its logo and body shape (previously only by body shape). This approach significantly reduces the number of false vehicle brand recognitions.

    • Two new brands have been added: Daihatsu and Tesla.

    • Improved module performance when running on the CPU.

  • Improved accuracy of the Fall Detection, Emergency Vehicle Detection, Abandoned Objects Detection modules.

  • Improved accuracy of hard hat and safety vest detection in the Uniform Detection module.

  • Increased calculation accuracy in the Unique Visitor Counting module due to the following improvements:

    • The quality of detection for both horizontal rotation and various tilts of faces has been improved.

    • A parameter has been added to the report indicating whether rotated faces should be considered unique.

  • Fixed a bug that prevented automatic reports from being generated in the Object Classification and Counting module under certain circumstances.

Cameras and devices

  • Fixed the lack of receiving motion events from Uniview cameras.

  • The PTZ control for Panasonic WV-SPN-631 cameras with a connected external pan/tilt mechanism has been integrated.

Mobile applications