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  1. Added new neural network models that simultaneously detect two classesHuman and Vehicle. The models are divided into three types: Nano, Medium and Large. Resource consumption increases as recognition accuracy increases Configuring the Neurotracker Image Added
  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 detection sub-tools: Motion in area, Appearance in area, Disappearance in area. 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)
  5. Added new countries for the License plate recognition (VT)
  6. Added new countries for the License plate recognition (RR)
  7. Added the cache creation utility for the License plate recognition (RR) and RR vehicles recognition

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