View source for Servers selection guide for vehicle number plate recognition systems

==Comparison table==
{| class = "wikitable"
!rowspan = "2" |Computer configuration || colspan = "5"|Frame resolution
|-
!720х288 || 720х576 || 1360х512 || 1360х896 || 2336х1752
|-
|Intel Core i5-2500 3.3Ghz 2Gb RAM || 240 || 128 || 68 || 38 || 10
|-
|Intel Xeon DP Quad-Core E5620 8Gb RAM || 274 || 180 || 94 || 54 || --*
|-
|Intel Core i7-2600 3.4Ghz 8Gb RAM || 386 || 220 || 102 || 66 || 20
|-
|Intel Core i7-3930K 3.2Ghz 16Gb RAM || 642 || 370 || 192 || 110 || 32
|-
|2* Intel Xeon X5650 2.66GHz 12Gb RAM || 1034 || 569 || 299 || --* || 54
|}
''* testing for such configuration was not conducted''

<br/>The table shows the number of frames that can be processed by recognition module on one computer with specified resolution and configuration.

<br/>Configuration was chosen randomly to determine the approximate performance of different types of processors.

<br/>Processor is loaded the most in number plate recognition process, the amount of used RAM is 2GB.

==CONDITIONS==

# Processor is busy with recognition only 
# Processor is loaded on 80-90%
# XVID or MJPEG format of the input video for recognition module

<br/>To determine the number of cameras from which your computer can perform recognition, divide the number from the table by the number of frames processed by the module.

<br/>For example: for 1360x512 resolution, Intel Xeon DP Quad-Core E5620 8Gb RAM computer configuration, and recognition module with up to 6 frames per second, we get: 94/6 = 15 channels of recognition.

<font color="#334F9C"> '''''Attention!'''''</font>
----
<font size="2" color="grey">''Much of the processing power is used for decoding video when using encoded video (boards with hardware compression, ip-cameras and ip-encoders). Moreover, the entire stream is decoded, regardless of the type of the module. So, even if you have a module designed to recognize 6 fps, but the video stream contains 25 fps, decoding of the whole stream will be performed anyway.
To calculate approximate processing cost of the video stream decoding, you can run the surveillance system with output to the operator and with required parameters (number of channels, resolution, frame rate, and codec).
In addition, part of the computer’s resources may be used by other tasks: video archive recording, work with the database, virus protection, etc.
You need to consider these data when selecting computer configuration.''</font>

==Installation experience data of our partners==

:1. Configuration: Intel Core i5-2500T (2.3Ghz), 2Gb RAM
::Camera Axis P1344
::Codec h.264
::Frames per second - 20
::Resolution 1280x800
::Number of processing channels (with video decoding) - 3

:2. Configuration: 2 х Intel Xeon X5650 (2.66GHz), 12 Gb RAM
::Camera Axis P1344
::Codec h.264
::Frames per second - 25
::Resolution 800x600
::Number of processing channels (with video decoding) - 20

[[Category: Software]]

[[en:Servers_selection_guide_for_vehicle_number_plate_recognition_systems|Servers_selection_guide_for_vehicle_number_plate_recognition_systems]]
[[ru:Рекомендации_по_подбору_серверов_для_систем_распознавания_автомобильных_номеров|Рекомендации_по_подбору_серверов_для_систем_распознавания_автомобильных_номеров]]