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1. Go to the Neurofilter tab on the settings panel of the Neurotracker object.
   
   
2. Set the Enable filtering checkbox to enable neurofilter. By default, the checkbox is clear.
3. By default, the standard (default) neural network is initialized according to the device selected in the Device drop-down list. The standard neural networks for different processor types are selected automatically. If you use a custom neural network, click the button to the right of the Tracking model field and in the standard Windows Explorer window, specify the path to the file.
   

   Note
   title Attention!
   To train a neural network, contact the AxxonSoft technical support (see Data collection requirements for neural network training). A neural network trained for a specific scene allows you to detect objects of a certain type only (for example, a person, cyclist, motorcyclist, and so on).

4. From the Device drop-down list, select the device on which the neural network will operate: CPU, one of NVIDIA GPUs, or one of Intel GPUs. Auto (default value)—the device is selected automatically: NVIDIA GPU gets the highest priority, followed by Intel GPU, then CPU.
   

   Note
   title Attention!
   The device for the neurofilter must match the device specified for the neurotracker in the Device drop-down of the main settings. If you select Auto, the neurofilter will run on the same processor as the neurotracker, according to the priority.  It may take several minutes to launch the algorithm on NVIDIA GPU after you apply the settings.

5. Click the Apply button to save the changes.

   Info
   title Note
   If necessary, create and configure the NeuroTracker VMDA detection tools on the basis of the Neurotracker object. The procedure of creating and configuring the NeuroTracker VMDA detection tools is similar to creating and configuring the VMDA detection tools for a regular tracker. The only difference is that it is necessary to create the NeuroTracker VMDA detection tools on the basis of the Neurotracker object, and not the Tracker object (see Creating and configuring the VMDA detection). Also, if you select the Staying in the area for more than 10 sec detector type, the time the object stays in the zone, after which the NeuroTracker VMDA detection tools are triggered, is configured using the LongInZoneTimeout2 registry key, not LongInZoneTimeout. The procedure of configuring the alarm generation mode for any type of VMDA detection tools is similar to the VMDA detection tools for a regular tracker using the VMDA.oneAlarmPerTrack registry key (see Registry keys reference guide).

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