Documentation for Axxon Next 4.4.6. Documentation for other versions of Axxon Next is available too.

Previous page Settings Specific to Multiple objects  Setting up VMD-based Scene Analytics Next page

To configure the neural tracker, do the following:

  1. Select the Neurotracker object. 
  2. By default, metadata are recorded into the database. To disable metadata recording, select No (1) from the Object Tracking list.
  3. If a camera supports multistreaming, select the stream to apply the detection tool to (2). 

  4. To reduce false alarms rate from a fish-eye camera, you have to position it properly (3).  For other devices, this parameter is not valid.

  5. Set the recognition threshold for objects in percent (4). If the recognition probability falls below the specified value, the data will be ignored. The higher the value, the higher the accuracy — for the cost of sensitivity.

  6. Select the processor for the neural network: the CPU or one of GPUs (5). 

    Attention!

    We recommend the GPU.

  7. Select the neural network file (6).

    Attention!

    A neural network, trained for a specific scene, allows detecting only the required types of objects (for example, a human, a cyclist, a motorcyclist, etc.).
    To request a neural network training, please contact AxxonSoft (see Requirements to data collection for neural network training).

    Note

    For correct neural network operation under Linux, place the corresponding file in the /opt/AxxonSoft/AxxonNext/ directory. 

  8. Set the frame rate value for the neural network (7). The other frames will be interpolated. The higher the value, the more accurate tracking, the higher the CPU load.

  9. By default, the entire FoV is a detection zone. If you need to narrow down the area to be analyzed, you can set one or several detection zones.

    Note

    The procedure of setting zones is identical to the primary tracker's (see Setting General Zones for Scene Analytics). The only difference is that the neural tracker's zones are processed while the primary tracker's are ignored.

  10. Click Apply.

  11. The next step is to create and configure the necessary detection tools. The configuration procedure is the same as for the primary tracker.

    Attention!

    The abandoned objects detection tool works only with the primary tracker.

  • No labels