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- 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
- Added the definition of a "non-living face" for Face detection.
- Added the possibility of specifying the number of detection tool objects for the standard sub-detection 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.
- Added new countries for the License plate recognition (IV) License plate recognition (IV) features and specifications
- Added new countries for the License plate recognition (VT) License plate recognition (VT) features and specifications
- Added new countries for the License plate recognition (RR) License plate recognition (RR) features and specifications
- 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
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- Updated the neural network algorithm OpenVINO that improved the performance up to 1.5 times when using CPU.
Normalized the loading by cores on the 12th and 13th generation Intel processors and on Servers with two processors.
Update recommendations
For Linux OS: if a detector pack 3.7.4 version and earlier that includes all analytics tools is installed (not divided into plugins), then before updating, it is necessary to remove the installed package without using purge (complete package deletion)
,by running the following command:
Code Block sudo dpkg --remove --force-depends axon-detector-packand then install the necessary plugins.
- For Face masking to work during export, it is necessary to have the Neuro Pack installed.
- If you have the Move from area to area sub-detection tool created, you need to contact technical support and get a manual for updating.
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