in the Detector column. The detection tool selection form is shown.
Check the boxes next to detection tools to add.
. The selected detection tools are shown in the list in the Detector column.
Here is the list of detection tools:
Name | Calculation on GPU | Product | Description | Hardware requirements and features of calculation |
| Video Content Analytic (VCA) | - | Axxon Next, Intellect | Object trajectories detection tool. | - |
| Face detection (Cognitec) | - | Intellect | Face-Intellect face detection tool based on the Cognitec recognition module. | When 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. |
| Face Detection (Huawei) | - | Intellect | Face-Intellect face detection tool based on the Huawei recognition module. | - |
| Face detection (STC) | - | Intellect | Face-Intellect face detection tool based on the STC recognition module. | |
| Main motion detection | - | Intellect | Basic motion detection tool in Intellect (a detection that is turned on when camera is armed) | - |
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 | - | Axxon Next | License plate recognition detection tool in Axxon Next version 4.0 and newer. | - |
| Face Search | - | Axxon Next | 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. | Optimal 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. | - |
| Virtual Loop (IntelliVision) | - | Intellect | Auto-Intellect, IntelliVision Traffic Monitoring Module that is the part of the information-gathering subsystem. | - |
| Glow detection | - | Intellect | Detection of light sources status on the video that is a part of Intellect Detector Pack. | - |
| Face detection (Tevian) | - | Intellect | Face-Intellect face detection tool based on the Tevian recognition module. | When 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. |
| Heat Map Detection | - | Intellect | Heat map detection tool that is a part of Intellect Detector Pack. | - |
| Fire Detection (CPU) | - | Axxon Next, Intellect | Fire detection based on neural network in Axxon Next version 4.1 and newer. | In order to enhance quality of operation and reduce CPU usage, it is recommended to use the detection tool with calculation on GPU. |
| Fire Detection (GPU) | Yes | Axxon Next, Intellect | Video card requirements:
The detection tool uses 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. | |
| Smoke Detection (CPU) | - | Axxon Next, Intellect | Smoke detection based on neural network in Axxon Next version 4.1 and newer. | In order to enhance quality of operation and reduce CPU usage, it is recommended to use the detection tool with calculation on GPU. |
| Smoke Detection (GPU) | Yes | Axxon Next, Intellect | Video card requirements:
The detection tool uses 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. | |
| VCA with neural filter (GPU) | Yes | Axxon Next, Intellect | Object trajectories detection tool (VMDA) based on neural network in Axxon Next and Intellect. | Video card requirements:
For each track, one image per second is sent to neural network for classification.
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 GTX 1070 or similar video card is suitable. Up to two Intel Neural Compute Stick can be in use in one system. |
| IntLab-Carriages (passenger) | - | Intellect | Recognizer of railway passenger carriage numbers |
|
| IntLab-Carriages (freight) | - | Intellect | Recognizer of railway freight carriage numbers |
|
| LPR INTELLIVISION | - | Intellect | Auto-Intellect, IntelliVision license plate recognition module. | - |
| IntelliVision VCA | - | Axxon Next | A smart video detection tool in Axxon Next | - |
| Service detection (key frames) | - | Axxon Next | Axxon Next detection tools:
| - |
| Service detection | - | Intellect | Intellect detection tools:
| - |
| VCA (Axis ACAP) | - | Axxon Next, Intellect | For Axis IP-devices only. This is an AxxonSoft Video Content Analytic (VCA) detection tool built into Axis device. See also AxxonSoft tracking in Axis devices (Intellect) or AxxonSoft tracking in Axis devices (Axxon Next). | The detection tool performs calculations using camera resources, and therefore has low hardware requirements. |
* - 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. ***** - The results are given for the Core i7-3770 (3400 MHz) CPU and may vary depending on the CPU installed. |
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).
Add detection tools as follows:
in the Detector column. The detection tool selection form is shown.Check the boxes next to detection tools to add.
. The selected detection tools are shown in the list in the Detector column.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. |
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. |