Page History
Here is the list of detection tools:
...
Object trajectories detection tool.
...
Face-Intellect face detection tool based on the Cognitec engine.
...
Motion Detection
...
Axxon Next
...
NOT a smart video detection tool in Axxon Next (Motion detection).
...
Motion Detection (decode key frames)
...
Axxon Next
...
NOT a smart video detection tool in Axxon Next (Motion detection) with key frames decoding enabled.
...
License plate recognition detection tool in Axxon Next version 4.0 and newer.
...
Face search detection tool in Axxon Next version 4.0 and newer.
...
LPR VIT
...
Intellect
...
Auto-Intellect, VIT license plate recognition module.
...
People Counter
...
Intellect
...
People counter detection tool that is a part of Intellect Detector Pack.
...
Virtual Loop
...
Intellect
...
Auto-Intellect, Vehicle detector module and Vehicle processor module that are the part of the information-gathering subsystem.
...
Face-Intellect face detection tool based on the Tevian engine.
...
Video card requirements:
- minimum 2 GB of memory;
- support for CUDA 5.0 or later.
The detection tools use 500 MB of video memory regardless of number of channels. Example: for 4 channels of fire detection tool, a video card with no less than 500 MB of memory is required. Several video cards can be in use in one system.
...
Video card requirements:
- minimum 2 GB of memory;
- support for CUDA 5.0 or later.
The detection tools use 500 MB of video memory regardless of number of channels. Example: for 4 channels of smoke detection tool, a video card with no less than 500 MB of memory is required. Several video cards can be in use in one system.
...
Axxon Next, Intellect
...
Object trajectories detection tool (VMDA) based on neural network in Axxon Next and Intellect.
...
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 70* classifications** per second,
- The NVIDIA GeForce GTX 1070 video card is capable of processing about 220*** classifications per second,
- The NVIDIA Tesla P40 video card is capable of processing about 122**** classifications per second.
Several video cards can be in use in one system.
For example, if you need to track 9 persons per second on 10 cameras, GeForce 1070 or similar video card is suitable.
...
Video card requirements:
- minimum 2 GB of memory;
- support for CUDA 5.0 or later.
...
- 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.
...
- 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.
...
Intellect
...
Face-Intellect face detection tool based on the Huawei engine.
...
Intellect detection tools:
- focusing detection tool;
- video signal stability detection tool;
- background change detection tool;
- camera blinding detection tool;
- camera covering detection tool.
Axxon Next detection tools:
- Loss of quality;
- Blurred Image Detection;
- Compression Artifacts Detection;
- Image Noise Detection;
- Position change.
...
| Info | ||
|---|---|---|
| ||
* - The results are given for 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 classifications** per second. ** -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, use 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. **** - 360 classifications per second were achieved in test utility on the 2x Intel Xeon Gold 6140 platform. In Axxon Next, up to 122 classifications per second were possible with 90% CPU utilization. |
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.Uncheck the None box.
Check the boxes next to detection tools to add.
Info title Note. If None checkbox is set together with any other checkbox(es), the calculation is not performed since the None checkbox is incompatible with any detection tools.
- Click
. The selected detection tools are shown in the list in the Detector column.
| Info | ||
|---|---|---|
| ||
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. The None checkbox is automatically set when saving the form with no checkboxes set. |
| Note | ||
|---|---|---|
| ||
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. |
...