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changes.mady.by.user Alena Kniazeva

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New Version 3

changes.mady.by.user Alina Luchkina

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  1. Added new neural network models that simultaneously detect two classes—Human and Vehicle. The models are divided into three types: Nano, Medium and Large. Resource consumption increases as recognition accuracy increases Setting up Neural Tracker-based Scene Analytics detection tools
  2. Added the definition of a "non-living face" for Face detection.
  3. Added the possibility of specifying the number of detection tool objects for the standard sub-detection tools. For example, the detection tool will trigger only if two objects are moving in the frame.
  4. Added new countries for the License plate recognition (IV) License plate recognition (IV) features and specifications
  5. Added new countries for the License plate recognition (VT) License plate recognition (VT) features and specifications
  6. Added new countries for the License plate recognition (RR) License plate recognition (RR) features and specifications
  7. Added the cache creation utility for the License plate recognition (RR) and RR vehicles recognition Optimizing the operation of the License plate (RR) and RR vehicles recognition on GPU

Optimization

  1. Updated the neural network algorithm OpenVINO that increased improved the performance when using CPU by up to 1.5 times when using CPU.

  2. Normalized the loading by cores on the 12th and 13th generation Intel processors and on Servers with two processors.

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  1. When you update the Face Recognition Pack, the results of the previously recognized persons will become unavailable. If you want to keep the previously recognized persons, do not update the analytics package.
  2. To start and correctly run the basic Face detection on GPU, you must first create a cache Optimizing the operation of Face detection on GPU
  3. Discontinued the support for the Intel HDDL devices.

  4. Removed the Move from area to area sub-detection tool from the current release to provide the support with Axxon One 1.0 software version. At the same time, the full compatibility is not guaranteed, there is no support for the declared functionality and the sub-detection tool optimization.

    For the Smoke/Fire detection to work in the scan mode, it is highly recommended to set the detection zones as a polygon, if you need to analyze only a part of the frame

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  5. The mechanisms for launching neural network models have changed, that is why some of the custom models (trained specifically for the object) may not work correctly. If you encounter any difficulties, please contact technical support.