Video stream and scene requirements for neural counter operation |
To configure Neurocounter, do the following:
Set the frame rate value for the detection tool to process per second (6). This value should be in the range [0.016; 100].
The default values (3 output frames and 1 FPS) indicate that Neurocounter will analyze one frame every second. If Neurocounter detects the specified number of objects (or more) on 3 frames, then it triggers. |
Select the processor for the neural network − CPU, one of GPUs, or one of Intel CPUs (7, see Hardware requirements for neural analytics operation, General Information on Configuring Detection).
If you specify other processing resource than the CPU, this device will carry the most of computing load. However, the CPU will also be used to run Neurocounter. |
It may take several minutes to launch the algorithm on NVIDIA GPU after you apply the settings. You can use caching to speed up future launches (see Configuring the acceleration of GPU-based neuroanalytics). |
In the Object type field (11), select the object type for counting, or in the Neural network file field (8), select the neural network file.
To train your neural network, contact AxxonSoft (see Data collection requirements for neural network training). A trained neural network for a particular scene allows you to detect only objects of a certain type (e.g. person, cyclist, motorcyclist, etc.). If the neural network file is not specified, the default file will be used, which is selected depending on the selected object type (11) and the selected processor for the neural network operation (7). |
For correct neural network operation on Linux, place the corresponding file in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory. |
Set the triggering condition for the neurocounter:
In the Number of alarm objects field (9), set the threshold value for the number of objects in the FOV.
In the Trigger upon count field (12), select when you want to generate the trigger − when the number of objects in the detection area is greater or less than the threshold value.
Set the minimum number of frames on which Neurocounter should detect objects in order to trigger (10). The value should be in the range [2; 20].
In the preview window, you can set the detection areas with the help of anchor points much like privacy masks in Scene Analytics detection tools (see Setting General Zones for Scene Analytics detection tools). By default, the entire FOV is a detection area.
It is possible to display the sensor and the number of objects in the controlled area in the video surveillance window on the layout. To configure this option, do the following: