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| Parameter | Value | Description |
|---|
| Object features |
| Record objects tracking | Yes | The metadata of the video stream is recorded to the database by default. To disable the parameter, select the No value |
| No |
| Video stream | Main stream | If the camera supports multistreaming, select the stream for which detection is needed |
| Other |
| Enable | Yes | The detection tool is enabled by default. To disable the detection tool, select the No value |
| No |
| Name | Barcode Detection | Enter the detection tool name or leave the default name |
| Barcode type | Aztec | Select the type of barcode that will generate alarms when detected |
| DataMatrix |
| PDF417 |
| QR code |
| Linear | Decode key frames | Yes | By default, the Decode key frames parameter is enabled. In this case only key frames are decoded. To disable the parameter, select the No value in the corresponding field.
This parameter reduces the load on the Server, but at the same time the detection quality decreases. We recommend enabling this parameter for "blind" (without video image display) Servers on which you want to perform detection.
For the MJPEG codec decoding isn’t relevant, as each frame is considered as a key frame.
| Note |
|---|
|
The Number of frames processed per second and Decode key frames parameters are interrelated. If a local Client isn’t connected to the Server, the following rules work for remote Clients: - If the key frame rate is less than the value specified in the Number of frames processed per second field, the detection tool will work by key frames.
- If the key frame rate is greater than the value specified in the Number of frames processed per second field, the detection will be performed according to the set period.
If a local Client is connected to the Server, the detection tool will always work according to the set period. After disconnecting the local Client, the above rules will be relevant again. |
| No |
| Decoder mode | Auto | Select a processing resource for decoding video streams. When you select a GPU, a stand-alone graphics card takes priority (when decoding with NVIDIA NVDEC chips). If there is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources will be used for decoding |
| CPU |
| GPU |
| HuaweiNPU |
| Mode | CPU | Select the processor for the neural network operation—CPU, one of NVIDIA GPUs, or one of Intel GPUs (see General information on configuring detection) |
| Nvidia GPU 0 |
| Nvidia GPU 1 |
| Nvidia GPU 2 |
| Nvidia GPU 3 |
| Intel NCS (not supported) |
| Intel GPU |
| Intel HDDL (not supported) |
| Huawei NPU |
| Neural network file | | If you use a unique neural network, select the corresponding file. | Note |
|---|
| - To train your neural network, contact AxxonSoft (see Data collection requirements for neural network training).
- A trained neural network for a particular scene allows you to detect only barcode of a certain type.
- To ensure the correct operation of the neural network on Linux OS, the corresponding file must be located in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory.
|
|
| Number of frames processed per second | 20 | Specify the number of frames for the detection tool to process per second. The value must be in the range [0.016; 100] |
| Type | Barcode Detection | Name of the detection tool type (non-editable field) |
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To save the parameters of the detection tool, click the Apply 
button button. To cancel the changes, click the Cancel 
button.
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