The following following Axxon PSIM x64 x64 and vertical solutions detection tools grouped by tabs are available for selection.
Base detection tools
Name | Description
|
|---|
| Motion detection (CPU) | Base detection tool (activated when the camera is armed) for decoding by all frames |
and of | the CPU resources. The results are given |
for | with the registry key DetectionFps = 25. Changing the value of the DetectionFps key does not significantly affect the load |
. |
Motion detection (CPU, key frames) | Base detection tool (activated when the camera is armed) for decoding by key frames |
and of the CPU resources. Changing the frame rate in the |
detector settings of the detection tool (the Frames processed per second |
parameter parameter) does not significantly affect the load |
. detector | detection (CPU, key frames) | Service detection tools for decoding by key frames |
and use when using the СPU resources: |
Stability - Video signal 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 results are given for decoding by key frames |
if the with GOP=25 (every 25th frame is the key frame). The detection tool is applicable only for H.264, H.265 codecs |
. Tracker
Name | Description
|
|---|
| Tracker VMDA (CPU) | VMDA detection tools based on object trajectory tracker when using the СPU resources |
.AI Neural tracker 6fpsVMDA The scene analytics detection tools |
based on neural tracker as part of Axxon PSIM Detector Pack with use of CPU resources.based on the Neurotracker when using the CPU resources and resource-intensive neural networks for detection of people or vehicles. You can select the type of recognition object for the detection tool: Person, Person (top-down view), Vehicle. Relative accuracy: medium, relative resource intensity: low. These neural networks are embedded in the product and can be trained on demand to detect different objects. In brackets is the frame rate that you can specify when configuring the Neurotracker object (the Number of frames processed per second parameter). This is the number of frames per second |
The frame rate specified during the Neurotracker module configuration (the Frames processed per second 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 network*.the Neurotracker with one working detection sub-tool Motion In Area |
LPR&Traffic
Name | Description
|
|---|
| License plate recognition VT (CPU) | License plate recognition module VIT as part of Auto Axxon PSIM |
software package | when using the СPU resources |
. |
| License plate recognition IV (CPU) | License plate recognition module LPR IntelliVision as part of Auto Axxon PSIM |
software package | when using the СPU resources |
. |
| Vehicle detection IV (CPU) |
Traffic flows information gathering subsystem based on IntelliVision Subsystem of traffic flow data collection based on IntelliVision vehicle detection as part |
of of Auto PSIM when using the СPU resources |
| License plate recognition RR (CPU) | License plate recognition module RR as part of Auto Axxon PSIM |
software software package when using the СPU resources |
.Face
Facial | Face recognition VA (CPU) | Face detection tool based on the |
Tevian module as of Axxon software package when when using the СPU resources. 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 |
. Railway
Name | Description
|
|---|
| Wagon number recognition ITB, passenger (CPU) | Recognizer of railway passenger carriage numbers based on the IntLab module as part of Auto |
Axxon software package when when using the СPU resources. - Optimal resolution is 704*288 OR 640*360 and
|
fps- FPS=25. With a higher resolution, the module will not be able to process all frames, which will reduce the quality of operation.
- Main channel has the same resource consumption as
|
subordinate .
|
| Wagon number recognition ITB, freight (CPU) | Recognizer of railway freight carriage numbers based on the IntLab module as part of |
Auto Axxon PSIM software package Auto PSIM when using the СPU resources.
- Optimal resolution is 704*288 OR 640*360 and
|
fps- FPS=25. With a higher resolution, the module will not be able to process all frames, which will reduce the quality of operation.
- Main channel has the same resources consumption as
|
subordinate .Behavior analytics
Name | Description
|
|---|
People counter (CPU) | People counter detection tool that is a part of Axxon PSIM Detector Pack when using the СPU resources. |
Optimal parameters for this detection tool are resolution of 800x600 Optimal parameters for this detection tool are resolution of 800x600 / 640x360 / 640x480 / |
320x240 and FPS in range from 24 320x240 and FPS in range from 24 to 30. |
If specified parameters of the video stream do If specified parameters of the video stream do not meet |
these conditionsthese conditions, then when you |
select this detection tool the resolution is set to 320x240 select this detection tool the resolution is set to 320x240 and FPS=24 |
. |
| Heat map (CPU) | Heat map detection tool (detection of "cold/hot" |
zones | areas of a store) that is a part of Axxon PSIM Detector Pack when using the СPU resources. The results are given when frame rate in the detector settings (the Frames processed per second parameter) is 25 |
.
|
| Queue length (CPU) | Queue length detection tool that is a part of Axxon PSIM Detector Pack when using the СPU resources. The results are given when frame rate in the |
detector | settings of the detection tool (the Frames processed per second parameter) is 25 |
.Fire&Smoke
Name | Description
|
|---|
Fire detection tool (CPU, 0.1fps) Smoke detection tool (CPU, 0.1fps) | Fire and smoke detection tools based on neural network as part of Axxon PSIM |
Detector Pack with use of Detector Pack when using the 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 fps FPS processed by the module; the frame rate of the incoming video stream is usually higher |
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