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Tip

To configure the License Plate Recognition IV detection tool, do the following:

...

Note

title	Attention!

...

The detection tool won't operate on the Server with a different MAC address.

...

Restart the Server (see Shutting down a Server, Starting a Server).

For the License plate recognition IV to work, you must activate the license (see Activating the license for the License plate recognition IV in Windows OS, Activating the license for the License plate recognition IV in Linux OS).

To configure the License plate recognition IV detectorTo create the License Plate Recognition IV detection tool, do the following:

Go

to

the

Detection Tools

tab

to the Detectors tab.
Below the required camera,

click

click Create… → Category: Vehicle → License

Plate Recognition

plate recognition IV.

By default, the detection tool detector is enabled and set to recognize vehicle license plates.

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

Parameter	Value	Description
Object features
Check in lists	Yes	The

Check in lists

parameter is disabled by default. If you want to use this

detection tool

detector to check in lists of vehicle license plates, select the

Yes

value (see Configuring vehicle license plate recognition based on the created lists

value (see Checking in lists of LPs)
	No
Record objects tracking	Yes	The metadata of the video stream is recorded to the database by default. To disable the parameter, select the No

value

value
	No
Video stream	Main 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

server
	Second stream
Other
Enable	Yes	The

detection tool

detector is enabled by default. To disable the

detection tool

detector, select

the

the No

value

value
value	No
Name	License

Plate Recognition

plate recognition IV

Enter the

detection tool

detector name or leave the default name
Decoder mode	Auto	Select a processing resource for decoding video streams. When you select a GPU, a stand-alone graphics card takes priority (when decoding with

NVIDIA

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
Type	License

Plate Recognition

plate recognition IV

Name of the

detection tool

detector type (non-editable field)
Advanced settings

Event timeout1Specify the time in seconds after which the alarm must be generated after recognizing a license plate in the frame. The value must be in the range [1, 3600]. If the value is 0, the alarm will be generated after the track with a license plate is lost


Frame size change	1920	The analyzed frames are scaled down to a specified resolution (1920 pixels on the longer side) by default. The following algorithm is used: If the longer side of the source image exceeds the value specified in the Frame size change

field

parameter, 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.

Info

title	Note

For example, the source image resolution is 2048*1536, and the specified value is set to 1000.

In

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

If detection is performed on a higher resolution stream and detection errors occur, we recommend reducing the compression.

Initiate event in (sec)

1

Specify the time in seconds after which an event must be generated after recognizing a license plate in the frame. The value must be in the range [0, 3600]. If the value is 0, an event will be generated after the track with a license plate is lost

Maximal number of characters in LP

10

Specify the maximum number of characters in the license plate. The value must be in the range [1, 20]

Minimal number of characters in LP

5

Specify the minimum number of characters in the license plate. The value must be in the range [1, 20]

Minimum recognition quality, in %

80

Specify the minimum quality of

license plates recognition as a percentage. The higher the minimum recognition quality, the fewer false

alarms

events. The value must be in the range [0, 100]

Tracker timeout

Track retention time (sec)

3

Specify the time in seconds after which the vehicle track is considered lost. The value must be in the range [0, 3600].

Info

title	Note

You can use this parameter to avoid double

triggerings

events that can

occurs

occur, for example, when a license plate is recognized when it appears in the frame, then it is overlapped by a visual obstacle and then recognized by the

detection tool

detector again. If you specify the timeout longer than the time of possible overlapping of the license plate in the frame, the

detection tool will trigger

detector will generate an event only once.

Basic settings

Algorithm for detecting vehicle direction

By LP coordinates

The

The By LP coordinates

algorithm

algorithm is used by default. It works as follows: if the coordinates of the vehicle license plate shift from top to bottom (the vehicle moves towards the camera) and if the coordinates of the vehicle license plate shift from bottom to top (the vehicle moves away from the camera).
Select

the

the By LP scale change parameter if in the Surveillance window, the scale of the vehicle license plate increases (the vehicle moves towards the camera) and if the scale of the vehicle license plate decreases (the vehicle moves away from the camera)

By LP scale change

Maximum LP width

10

Specify the maximum and minimum width of the license plate as a percentage according to the actual size of the license plate in the frame. The value must be in the range [0, 100].

Note

title	Attention!

Specified

vlaues

values must exclude omissions in license plate recognition, that is the values must not be smaller than the real size of the license plate in the frame. Otherwise, the license plates won't be recognized.
The Minimum LP width parameter affects the CPU load: the higher the value, the lower the load.
Reducing the difference between the maximum and minimum width reduces the CPU load.

Minimum LP width

1

Processing unit

CPU

Select

the

a processor for the

detection tool operation—CPU or one of NVIDIA GPUs

detector operation (see Selecting Nvidia GPU when configuring

detection tools

detectors).

Note

title	Attention!

It

may

can take several minutes to launch the algorithm on NVIDIA GPU.
If you have multiple graphics cards in your system, you can assign a specific NVIDIA GPU value to each License

Plate Recognition IV detection tool

plate recognition IV detector.

Nvidia GPU 0

Nvidia GPU 1

Nvidia GPU 2

Nvidia GPU 3

Country selection

Country name

Australia, high load, high recognition accuracy
Australia, medium load, medium recognition accuracy
Austria, high load, high recognition accuracy
Austria, medium load, medium recognition accuracy
Bangladesh, high load, high recognition accuracy
Bangladesh, medium load, medium recognition accuracy
Belarus, high load, high recognition accuracy
Belarus, medium load, medium recognition accuracy
Belgium, high load, high recognition accuracy
Belgium, medium load, medium recognition accuracy
Brazil, high load, high recognition accuracy
Brazil, medium load, medium recognition accuracy
Canada, high load, high recognition accuracy
Canada, not supported
Canada, medium load, medium recognition accuracy
China, high load, high recognition accuracy
China, medium load, medium recognition accuracy
Costa Rica, high load, high recognition accuracy
Costa Rica, medium load, medium recognition accuracy
Czech Republic, high load, high recognition accuracy
Czech Republic, medium load, medium recognition accuracy
Dubai, high load, high recognition accuracy
Dubai, medium load, medium recognition accuracy
Egypt, high load, high recognition accuracy
Egypt, medium load, medium recognition accuracy
European Union, high load, high recognition accuracy
European Union, not supported
European Union, medium load, medium recognition accuracy
Finland, high load, high recognition accuracy
Finland, medium load, medium recognition accuracy
France,

Germany, Great Britain, India, Indonesia, Iraq, Israel, Italy, Japan, Kazakhstan, Kuwait, Mexico, Monaco, Mongolia, Netherlands, Pakistan, Poland, Qatar, Republic of South Africa, Russia, Saudi Arabia, Slovenia, South Korea, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Turkey, Ukraine, United Arab Emirates, United States of America, Uzbekistan, Vietnam

high load, high recognition accuracy
France, medium load, medium recognition accuracy
Germany, high load, high recognition accuracy
Germany, medium load, medium recognition accuracy
Hong Kong, high load, high recognition accuracy
Hong Kong, medium load, medium recognition accuracy
India, high load, high recognition accuracy
India, medium load, medium recognition accuracy
Indonesia, high load, high recognition accuracy
Indonesia, medium load, medium recognition accuracy
Iraq, high load, high recognition accuracy
Iraq, medium load, medium recognition accuracy
Israel, high load, high recognition accuracy
Israel, medium load, medium recognition accuracy
Italy, high load, high recognition accuracy
Italy, medium load, medium recognition accuracy
Japan, high load, high recognition accuracy
Japan, medium load, medium recognition accuracy
K.U.B.R., high load, high recognition accuracy (Kazakhstan, Ukraine, Belarus, Russia)
K.U.B.R., medium load, medium recognition accuracy (Kazakhstan, Ukraine, Belarus, Russia)
Kazakhstan, high load, high recognition accuracy
Kazakhstan, medium load, medium recognition accuracy
Kuwait, high load, high recognition accuracy
Kuwait, medium load, medium recognition accuracy
Luxembourg, high load, high recognition accuracy
Luxembourg, medium load, medium recognition accuracy
Macau, high load, high recognition accuracy
Macau, medium load, medium recognition accuracy
Malaysia, Singapore, high load, high recognition accuracy
Malaysia, Singapore, medium load, medium recognition accuracy
Mexico, high load, high recognition accuracy
Mexico, medium load, medium recognition accuracy
Middle East, high load, high recognition accuracy (Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Syria, United Arab Emirates, Yemen)
Middle East, medium load, medium recognition accuracy (Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Syria, United Arab Emirates, Yemen)
Monaco, high load, high recognition accuracy
Monaco, medium load, medium recognition accuracy
Mongolia, high load, high recognition accuracy
Mongolia, medium load, medium recognition accuracy
Netherlands, high load, high recognition accuracy
Netherlands, medium load, medium recognition accuracy
North America, high load, high recognition accuracy (Canada, Mexico, United States)
North America, medium load, medium recognition accuracy (Canada, Mexico, United States)
Pakistan, high load, high recognition accuracy
Pakistan, medium load, medium recognition accuracy
Poland, high load, high recognition accuracy
Poland, medium load, medium recognition accuracy
Portugal, high load, high recognition accuracy
Portugal, medium load, medium recognition accuracy
Russia, high load, high recognition accuracy
Russia, not supported
Russia, medium load, medium recognition accuracy
Saudi Arabia, high load, high recognition accuracy
Saudi Arabia, medium load, medium recognition accuracy
Singapore, high load, high recognition accuracy
Singapore, medium load, medium recognition accuracy
Slovenia, high load, high recognition accuracy
Slovenia, medium load, medium recognition accuracy
South Africa, high load, high recognition accuracy
South Africa, not supported
South Africa, medium load, medium recognition accuracy
South Korea, high load, high recognition accuracy
South Korea, medium load, medium recognition accuracy
Spain, high load, high recognition accuracy
Spain, medium load, medium recognition accuracy
Sri Lanka, not supported
Sri Lanka, medium load, medium recognition accuracy
Switzerland, high load, high recognition accuracy
Switzerland, medium load, medium recognition accuracy
Taiwan, high load, high recognition accuracy
Taiwan, not supported
Taiwan, medium load, medium recognition accuracy
Thailand, high load, high recognition accuracy
Thailand, medium load, medium recognition accuracy
Turkey, high load, high recognition accuracy
Turkey, medium load, medium recognition accuracy
Ukraine, high load, high recognition accuracy
Ukraine, medium load, medium recognition accuracy
United Kingdom, high load, high recognition accuracy
United Kingdom, medium load, medium recognition accuracy
United States, high load, high recognition accuracy
United States, not supported
United States, medium load, medium recognition accuracy
Uzbekistan, high load, high recognition accuracy
Uzbekistan, medium load, medium recognition accuracy
Vietnam, high load, high recognition accuracy
Vietnam, medium load, medium recognition accuracy

Select from the list the country whose license plates you want to recognize and select the

recogniton

recognition accuracy:

1. High load, high recognition—provides maximum recognition accuracy, but creates a high load on the CPU and/or graphics processing unit (GPU).
2. Medium load, medium recognition—provides high recognition accuracy, requires less computing resources than at maximum accuracy.
3. Low load, low recognition—provides the fastest recognition speed, while lowering recognition accuracy

In the window, specify the area in which license plate detection and recognition will be performed. You can adjust the area by moving the anchor points Image Modified.
Image Modified

Info

title	Note

For convenience of configuration, you can "freeze" the frame. Click

the

the Image Modified

button

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

the

the Image Modified

button

button. To cancel the action, click this button again.

To save the parameters of the detection tooldetector, click the Apply Image Modified button. To To cancel the changes, click the Cancel Image Modified button.

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

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Versions Compared

Old Version 9

New Version 19

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