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After adding cameras to the list (see Selecting cameras ), the types of detection tools can be specified too. You can select zero to all detection tool types for each stream. The list of available detection tools depends on the selected software platform (see Selecting software platform).
See detection tools description in the corresponding subsection: Selecting types of detection tools for Axxon Next or Selecting types of detection tools for Intellect
Add detection tools as follows:
- Click
in the Detector column. The detection tool selection form is shown.
- Click the Detectors list.
Check the boxes next to detection tools to add.
- Click
. The selected detection tools are shown in the list in the Detector column.
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Follow same steps 1-4 to change the list of detection tools. Uncheck all boxes using the checkbox in top left corner of the form to delete all detection tools from the list. |
Here is the list of detection tools:
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Object trajectories detection tool.
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Face-Intellect face detection tool based on the Cognitec engine.
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Motion Detection
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Axxon Next
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NOT a smart video detection tool in Axxon Next (Motion detection).
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Motion Detection (decode key frames)
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Axxon Next
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NOT a smart video detection tool in Axxon Next (Motion detection) with key frames decoding enabled.
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License plate recognition detection tool in Axxon Next version 4.0 and newer.
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Face search detection tool in Axxon Next version 4.0 and newer.
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LPR VIT
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Intellect
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Auto-Intellect, VIT license plate recognition module.
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People Counter
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Intellect
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People counter detection tool that is a part of Intellect Detector Pack.
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Virtual Loop
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Intellect
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Auto-Intellect, Vehicle detector module and Vehicle processor module that are the part of the information-gathering subsystem.
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Face-Intellect face detection tool based on the Tevian engine.
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Video card requirements:
- minimum 2 GB of memory;
- support for CUDA 5.0 or later.
For 1 detection tool channel, 500 MB of video memory shall be used. Example: for 4 channels of fire detection tool, a video card with no less than 2 GB of memory is required. Several video cards can be in use in one system.
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Video card requirements:
- minimum 2 GB of memory;
- support for CUDA 5.0 or later.
For 1 detection tool channel, 500 MB of video memory shall be used. Example: for 4 channels of smoke detection tool, a video card with no less than 2 GB of memory is required. Several video cards can be in use in one system.
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Axxon Next, Intellect
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Object trajectories detection tool (VMDA) based on neural network in Axxon Next and Intellect.
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Video card requirements:
- minimum 2 GB of memory;
- support for CUDA 5.0 or later.
For each track, one image per second is sent to neural network for classification.
The NVIDIA GeForce GT 730 video card is capable of processing about 20 classifications per second, and the NVIDIA GeForce GTX 1070 video card is capable of processing about 90 classifications per second. Several video cards can be in use in one system.
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Video card requirements:
- minimum 2 GB of memory;
- support for CUDA 5.0 or later.
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- Optimal resolution of 704*288 OR 640*360 and fps = 25. At a higher resolution the module will not be able to process all frames reducing quality of operation.
- Main channel has the same resources consumption as subordinate channel.
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- Optimal resolution of 704*288 OR 640*360 and fps = 25. At a higher resolution the module will not be able to process all frames reducing quality of operation.
- Main channel has the same resources consumption as subordinate channel.
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Intellect
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After adding cameras to the list (see Selecting cameras ), the types of detection tools can be specified too.
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| Note | ||
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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. |
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