Documentation for Axxonsoft Platform Calculator. Documentation for other products available here.

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The following Intellect x64 and vertical solutions detection tools grouped by tabs are available for selection.

Base detection tools

Name

DescriptionFeatures of calculation

Motion Detection (key frames)

Base detection tool activated when the camera is armed.

The detection tool is applicable only for H.264, H.265 codecs. The platform is calculated for decoding by key frames if the GOP=25 (every 25th frame is the key frame)
Service Detection (key frames)

Service detection tools:

  • Focus detection tool
  • Stability detection tool
  • Background change detection tool
  • Blind detection tool
  • Cover detection tool

The platform is calculated for one service detection tool (any of the listed)

The detection tool is applicable only for H.264, H.265 codecs. The platform is calculated for decoding by key frames if the GOP=25 (every 25th frame is the key frame)

Tracker

Name

DescriptionFeatures of calculation
Tracker VMDA

VMDA detection tools based on object trajectory tracker

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Tracker with neural filter (GPU)

VMDA detection tools based on object tracker with use of a neural filter and GPU resources

For each track, one image per second is sent to neural network for classification.

  • The NVIDIA GeForce GT 730 graphics card is capable of processing up to 701 classifications2 per second.

  • The NVIDIA GeForce GTX 1070 graphics card is capable of processing up to 2203 classifications per second.

  • The Intel Neural Compute Stick 1 (movidius I) is capable of processing up to 58 classifications per second4.

  • The Intel Neural Compute Stick 2 (movidius II) is capable of processing up to 200 classifications per second4.

  • Several video cards can be used in one system.
  • For example, if you need to track 9 persons per second on 10 cameras, then a GeForce GTX 1070 or similar video card is suitable.
  • Up to two Intel Neural Compute Stick can be used in one system.
Neural tracker (CPU, 6fps)

VMDA detection tools based on neural tracker as part of Intellect Detector Pack with use of CPU resources

The frame rate specified during the Neurotracker module configuration (the Frame rate limit parameter) is indicated in brackets. This is the number of fps processed by the module; the frame rate of the incoming video stream is usually higher.

The results are given for a standard size neural network5
Neural tracker (VPU, 6fps)

VMDA detection tools based on neural tracker as part of Intellect Detector Pack with use of VPU resources

The frame rate specified during the Neurotracker module configuration (the Frame rate limit parameter) is indicated in brackets. This is the number of fps processed by the module; the frame rate of the incoming video stream is usually higher.

1 Mustang-V100-MX8 (Intel HDDL) card processes up to 60 video channels regardless of video resolution.

Multiple Mustang-V100-MX8 (Intel HDDL) cards can be used on the server.

The results are given for a standard size neural network5

LPR&Traffic

Name

DescriptionFeatures of calculation
AUTO-UraganLicense plate recognition module AUTO-Uragan as part of Auto Intellect software package-
VITLicense plate recognition module VIT as part of Auto Intellect software package-
LPR IntelliVisionLicense plate recognition module LPR IntelliVision as part of Auto Intellect software package-
IntelliVision vehicle detection 

Traffic flows information gathering subsystem based on IntelliVision vehicle detection as part of Auto Intellect software package

-

Face

Name

DescriptionFeatures of calculation
Facial recognition

Face detection tool based on the Tevian recognition module as part of Face Intellect software package

When calculating the platform using this detection tool, only the resources for face detection and their vectorization are taken into account. The load from comparing faces with the reference database is not taken into account, because usually a separate server is provided to perform this function.

Carriages

Name

DescriptionFeatures of calculation
IntLab-Carriages (passenger)

Recognizer of railway passenger carriage numbers based on the IntLab module as part of Auto Intellect software package

  1. Optimal resolution is 704*288 OR 640*360 and fps=25. With a higher resolution, the module will not be able to process all frames, which will reduce the quality of operation.
  2. Main channel has the same resource consumption as subordinate channel.
IntLab-Carriages (freight)Recognizer of railway freight carriage numbers based on the IntLab module as part of Auto Intellect software package
  1. Optimal resolution is 704*288 OR 640*360 and fps=25. With a higher resolution, the module will not be able to process all frames, which will reduce the quality of operation.
  2. Main channel has the same resources consumption as subordinate channel.

Behavior analytics

Name

DescriptionFeatures of calculation

People counter detection

People counter detection tool that is a part of Intellect Detector Pack.

Optimal parameters for this detection tool are resolution of 800x600 / 640x360 / 640x480 / 320x240 and FPS in range from 24 to 30. If specified parameters of the video stream do not meet these conditions, then when you select this detection tool the resolution is set to 320x240 and FPS=24.
Heat Map detectionHeat map detection tool that is a part of Intellect Detector Pack.-
Queue length detectionQueue length detection tool that is a part of Intellect Detector Pack.-

Fire&Smoke

Name

DescriptionFeatures of calculation

Fire detection tool (CPU, 0.1fps)

Smoke detection tool (CPU, 0.1fps)

Fire and smoke detection tools based on neural network as part of Intellect Detector Pack with use of CPU resources

The frame rate specified during the detection tool configuration (the Number of frames for analysis and output parameter) is indicated in brackets. This is the number of fps processed by the module; the frame rate of the incoming video stream is usually higher.

-

Note

 The results are given for the Core i5-3570 (3400 MHz) CPU and may vary depending on the CPU installed. For example, the Xeon Gold 6140 (2300 MHz) CPU allows 95 classifications2 per second.

2  1 classification per second is 1 object detected on video. For example, if average of 9 moving objects are simultaneously present on video from one camera, and there are 5 cameras in the system, then you need to use a video card allowing 45 classifications per second.

 The results are given for the Core i7-8700 (3200 MHz) CPU and may vary depending on the CPU installed.

4 – The results are given for the Core i7-3770 (3400 MHz) CPU and may vary depending on the CPU installed.

5 – The results are given for a neural network capable of detecting an object sized at least 5% of the frame width/height. The results may differ for a neural network capable of detecting smaller objects (since more resources are required).

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