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

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To configure the Vehicle recognition RR detector, do the following:

  1. Go to the Detectors tab.
  2. Below the required camera, click Create…  Category: Vehicle  Vehicle recognition RR.

By default, the detector is enabled and set to recognize vehicles. For the full list of possible vehicle classes, makes, and models, see here.

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

ParameterValueDescription
Object features
Record objects trackingYesThe metadata of the video stream is recorded to the database by default. To disable the parameter, select the No value
No
Video streamMain streamIf 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
EnableYesThe detector is enabled by default. To disable the detector, select the No value
No
NameVehicle recognition RREnter the detector name or leave the default name
Decoder modeAutoSelect 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
TypeVehicle recognition RRName of the detector type (non-editable field)
Advanced settings
Accuracy and performanceMedium accuracy and high performance

Select vehicle recognition accuracy and performance:

  • Medium accuracy and high performance—provides medium recognition accuracy and high GPU performance (lower GPU load);
  • High accuracy and medium performance—provides maximum recognition accuracy and medium GPU performance (high GPU load)
High accuracy and medium performance
Calibration area height (m)0Specify the height of the calibration area in meters. The value must be in the range [0, 500]
Calibration area width (m)0Specify the width of the calibration area in meters. The value must be in the range [0, 500]
Frame processing period (msec)750Specify the time in milliseconds between the operations of vehicle search in the frame. The larger this value, the less load on the server, but some vehicles can be unrecognized. The value must be in the range [1, 10 000]
Frame size change1920

The analyzed frames are scaled down to a specified resolution (1920 pixels on the longer side) by default. The value must be in the range [640, 10 000]. The following algorithm is used:

  • If the longer side of the source image exceeds the value specified in the Frame size change field, it is divided by two.
  • If the resulting resolution falls below the specified value, the algorithm stops, and this resolution will be used further.
  • If the resulting resolution still exceeds the specified value, it is divided by two until it is less than the specified resolution.

Note

For example, the source image resolution is 2048*1536, and the specified value is set to 1000. In this case, the source resolution will be halved two times (512*384), as after the first division, the number of pixels on the longer side exceeds the specified value (1024 > 1000). If detection is performed on a higher resolution stream and detection errors occur, we recommend reducing the compression.

Initiate event in (sec)0Specify the time in seconds after which an event must be generated after recognizing a vehicle in the frame. If the value is 0, an event is generated after the track with a vehicle is lost. The value must be in the range [1, 3600]
Speed detectionOff

Select from the list the mode for determining the speed unit of vehicles.

Attention!

Margin of error in determining the speed of vehicles is about 5% with a good calibration, as this function gives only a general idea of the situation. The consumption of resources doesn't change when the Speed detection parameter is enabled.

Note

For the correct display of the speed measurement unit, you must create the MEASUREMENT_UNIT system variable (see Appendix 9. Creating system variable) and specify the value:

  • 0—to display kmph;
  • 1—to display mph.
Kmph
Mph
Territory

Countries of CIS
Select the territory of vehicle recognition
Other countries
Basic settings
Algorithm for detecting vehicle directionBy LP coordinatesThe By LP coordinates algorithm is used by default. It works as follows: if the coordinates of the vehicle shift from top to bottom (the vehicle moves towards the camera) and if the coordinates of the vehicle shift from bottom to top (the vehicle moves away from the camera). Select the By LP scale change parameter if, in the Surveillance window, the scale of the vehicle increases (the vehicle moves towards the camera) and if the scale of the vehicle decreases (the vehicle moves away from the camera)
By LP scale change
Detection modeCPU

Select a processor for the detector operation (see Selecting Nvidia GPU when configuring detectors).

Attention!

It can take several minutes to launch the algorithm on Nvidia GPU after you apply the settings.

Nvidia GPU 0
Nvidia GPU 1
Nvidia GPU 2
Nvidia GPU 3

By default, the entire video frame is analyzed. If necessary, in the preview window, you can set the calibration area or detection area (see Configuring calibration area and detection area).

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

Configuration of the Vehicle recognition RR is complete. If necessary, you can create and configure the necessary sub-detectors on the basis of the Vehicle recognition RR (see Standard sub-detectors).

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