Servers selection guide for vehicle number plate recognition systems

From VIT company
Revision as of 12:22, 10 March 2015 by Sysop@vitcompany.com (talk | contribs) (1 revision)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Comparison table

Computer configuration 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


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


Configuration was chosen randomly to determine the approximate performance of different types of processors.


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

CONDITIONS

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


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.


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.

Attention!

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.

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

Servers_selection_guide_for_vehicle_number_plate_recognition_systems Рекомендации_по_подбору_серверов_для_систем_распознавания_автомобильных_номеров

Retrieved from "https://docs.vitcompany.com/index.php?title=Servers_selection_guide_for_vehicle_number_plate_recognition_systems&oldid=539"