Documentation for Axxon One 2.0. Documentation for other versions of Axxon One is available too.

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Hardware requirements for neural analytics operation

Video stream and scene requirements for the Stopped object detector

Image requirements for the Stopped object detector

To configure the Stopped object detector, do the following:

  1. Go to the Detection Tools tab.

  2. Below the required camera, click Create… → Category: Trackers → Stopped object detector.

By default, the detection tool is enabled and set to detect stopped objects.

If necessary, you can change the detection tool parameters. The list of parameters is given in the table:

ParameterValueDescription
Object features
Record objects trackingYes

By default, metadata are recorded into the database. To disable metadata recording, select the No value.

Attention!

To obtain metadata, video is decompressed and analyzed, which results in a heavy load on the Server and limits the number of cameras that you can use on it.

No
Video streamMain stream

If the camera supports multistreaming, select the stream for which detection is needed. Selecting a low quality video stream reduces the load on the Server

Second stream
Other
EnableYesBy default, the detection tool is enabled. To disable, select the No value
No
NameStopped object detectorEnter the detection tool name or leave the default name
Decoder modeAuto

Select a processing resource for decoding video streams. When you select a GPU, a stand-alone graphics card takes priority (when decoding with Nvidia NVDEC chips). If there is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources will be used for decoding

CPU
GPU
HuaweiNPU
TypeStopped object detectorName of the detection tool type (non-editable field)
Basic settings
Detection threshold30Specify the Detection threshold for objects in percent. If the recognition probability falls below the specified value, the data will be ignored. The higher the value, the higher the accuracy, but some events from the detection tool may not be considered. The value must be in the range [1, 100]
Detector mode








CPU

Select a processor for the neural network operation (see Hardware requirements for neural analytics operation, Selecting Nvidia GPU when configuring detectors).

Attention!










Nvidia GPU 0
Nvidia GPU 1
Nvidia GPU 2
Nvidia GPU 3
Intel GPU
Intel HDDL (not supported)
Huawei NPU
Detection neural network





Person

Select the detection neural network from the list. Neural networks are named taking into account the objects they detect. The names can include the size of the neural network (Nano, Medium, Large), which indicates the amount of consumed resources. The larger the neural network, the higher the accuracy of object recognition

Person (top-down view)
Person (top-down view Nano)
Person (top-down view Medium)
Person (top-down view Large)
Vehicle
Person and vehicle (Nano)
Person and vehicle (Medium)
Person and vehicle (Large)
Advanced settings
Wait time (sec)
3

Specify the waiting time for the reappearance of a disappeared stopped object in seconds. The value must be in the range [1, 60]

Stop time (sec)
5

Specify the time in seconds after which the object will be considered stopped. The value must be in the range [1, 60]

Selected object classes 

If necessary, specify the class of the detected object. If you want to display tracks of several classes, specify them separated by a comma with a space. For example, 1, 10.
The numerical values of classes for the embedded neural networks: 1—Human/Human (top-down view), 10—Vehicle.

    1. If you leave the field blank, the tracks of all available classes from the neural network will be displayed (Detection neural network, Neural network file).
    2. If you specify a class/classes from the neural network, the tracks of the specified class/classes will be displayed (Detection neural network, Neural network file).
    3. If you specify a class/classes from the neural network and a class/classes missing from the neural network, the tracks of a class/classes from the neural network will be displayed (Detection neural network, Neural network file).

    4. If you specify a class/classes missing from the neural network, the tracks of all available classes from the neural network will be displayed (Detection neural network, Neural network file)

      Note

      Starting with Detector Pack 3.10.2, if you specify a class/classes missing from the neural network, the tracks won’t be displayed (Detection neural network, Neural network file).

Camera position

Wall

To eliminate false events from the detection tool when using a fisheye camera, select the correct device location. For other devices, this parameter is irrelevant

Ceiling
Neural network file 

If you use a custom neural network, select the corresponding file.

Attention!

  • 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 (for example, a person, a cyclist, a motorcyclist, and so on).
  • If the neural network file is not specified, the default file is used that is selected automatically depending on the selected value in the Detection neural network parameter and the selected processor for the neural network operation in the Decoder mode parameter. If you use a custom neural network, enter a path to the file. The selected detection neural network is ignored when you use a custom neural network.
  • To ensure the correct operation of the neural network on Linux OS, the corresponding file must be located in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory. 
  • If you use standard neural network (training wasn't performed in operating conditions), we guarantee the overall accuracy of 80-95% and the percentage of false positives of 5-20%. The standard neural networks are located in the C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroSDK directory.

By default, the entire frame is a detection area. If necessary, in the preview window, set:

Note

For convenience of configuration, you can "freeze" the frame. Click the button. To cancel the action, click this button again.

The detection area is displayed by default. To hide it, click the button. To cancel the action, click this button again.

To save the parameters of the detection tool, click the Apply  button. To cancel the changes, click the Cancel  button.

The Stopped object detector is configured.

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