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  1. Supported Nvidia GPUs with Ada Lovelace micro-architecture for:

  2. Added Stopped object detector

  3. Added Object Tracker VL Object Tracker VL
  4. Added Glow detector

  5. Added Vehicle Recognition XR Windows OS.
  6. Added new countries for License Plate Recognition IV
  7. Added new countries for the License plate recognition RR License Plate Recognition RR and Vehicle Recognition RR
  8. Added new countries for the License plate recognition Plate Recognition VT License plate recognition (VT)Image Added

  9. It is now possible to hide the license plate number completely or partially using the GDPR Policy feature.
  10. It is now possible to create events based on unrecognized license plates for detection tools:

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  1. Optimized the Nvidia GPU utilization so it can be used more efficiently, which increased the performance of the detection tools:

  2. Added new embedded neural network for the Person (top-down view) for detection tools:

  3. Added the possibility of using object classes in standard detection sub-tools Standard detection sub-tools Image Added

  4. Updated the integration of the Abandoned Objects Detection VI and Abandoned Objects Detection (Street) VIWindows version is now available.

  5. Added demo license for the detection tools:

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Update limitations

  1. When you update the Face detection Detection TV, Face Detection VA or Face detection Detection VL (see Installing DetectorPack add-ons), 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 detectionDetection and Face recognition VA on GPU, you must first create a cache Optimizing the operation of Face detection TV and Face Detection VA on GPU Image Added
  3. Replaced Face detectionDetection TV with Face detection Detection VA. Discontinued the support for Face detectionDetection TV. Face detection Detection TV and Face detection Detection VA are incompatible.
  4. Discontinued the support for the Intel HDDL (Mustang-v-100) devices.
  5. The mechanisms for launching neural network models have changed, that is why some of the custom models (trained specifically for the object, see Data collection requirements for neural network training) may not work correctly. If you encounter any difficulties, please contact technical support.
  6. In this version of DetectorPack, you cannot filter objects by color when using sub-tools (child detection tools).
  7. When working with Fire Detection and Smoke Detection in scanning mode (see Configuring the Scanning scanning mode), it is strongly recommended to set the polygon detection areas if you need to analyze only part of the frame.