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

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Here is the list of detection tools:

Name

Product

DescriptionType (basic/extra)Features
Video Content Analytic (VCA)Axxon Next, Intellect

Object trajectories detection tool.

Basic-
Face detection (Cognitec)Intellect

Face-Intellect face detection tool based on the Cognitec engine.

BasicWhen calculating a platform using this detection tool, only resources for faces detecting and vectorization are taken into account. The load from comparing faces with a reference database is not taken into account, because usually a separate server is provided to perform this function.
Main motion detectionIntellectBasic motion detection tool in Intellect (a detection that is turned on when camera is armed)Basic-

Motion Detection

Axxon Next

NOT a smart video detection tool in Axxon Next (Motion detection).

Basic-

Motion Detection (decode key frames)

Axxon Next

NOT a smart video detection tool in Axxon Next (Motion detection) with key frames decoding enabled.

Extra with theoretical load-
License Plate RecognitionAxxon Next

License plate recognition detection tool in Axxon Next version 4.0 and older.

Extra with theoretical load-
Face SearchAxxon Next

Face search detection tool in Axxon Next version 4.0 and older.

Extra with theoretical load-

LPR VIT

Intellect

Auto-Intellect, VIT license plate recognition module.

Extra with theoretical load-

People Counter

Intellect

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

Extra with theoretical loadOptimal parameters for this detection tool are resolution of 800x600 / 640x360 / 640x480 / 320x240 and FPS of 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 to 24.

Virtual Loop

Intellect

Auto-Intellect, Vehicle detector module and Vehicle processor module that are the part of the information-gathering subsystem.

Extra with theoretical load-
Glow detectionIntellectDetection of light sources status on the video that is a part of Intellect Detector Pack.Extra with theoretical load-
Face detection (Tevian)Intellect

Face-Intellect face detection tool based on the Tevian engine.

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

The list of available detection tools depends on the selected software platform (see Selecting software platform). 

Important!

Platforms calculator does not check if specified parameters match detection tools requirements for cameras. For instance, if specified fps is lower than that required for detection tool to operate, then platforms will be calculated but the calculated platform won’t suit the detection tool requirements.

The requirements of detection tool for cameras are specified in the documentation – see AxxonSoft documentation repository.

If there is no required detection tool in the list of default detection tools (see Selecting types of detection tools), then extra detection tools can be enabled and taken into account when calculating platform. However, due to small number of tests of these detection tools on various platforms, factors for conversion between platforms are in use when calculating CPU load and recommended platforms. This can lead to increased inaccuracy in recommendations, while all data for platform calculation with default detection tools and without them are available from experiments.

Enable extra detection tools with theoretical load as follows:

  1. Click the Settings button.
  2. Set the Theoretically calculated load for experimental detectors checkbox checked.
  3. Click the Save button.
  4. As a result the specified detection tools become available for selection.

 

Extra detection tools with theoretical load are now enabled.

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