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Tip

To configure the Barcode detector

...

, do the following:

Go to the

...

Detectors tab.
Below the required camera, click Create… → Category: Retail →Barcode

...

detector.

By default, the detection tool detector is enabled and configured for operation. Depending on the required tasks, you must select a specific type of barcode for detection.

If necessary, you can change the settings parameters of the detection tool parameters detector given in the table:

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
Record objects tracking	No
Video stream	Main stream	If the camera supports multistreaming, select the stream for which detection is needed
Other
Enable	Yes	The

detection tool

detector is enabled by default. To disable the

detection tool

detector, select

the

the No value
the No value	No
Name	Barcode

Detection

detector

Enter the

detection tool

detector name or leave the default name
Track lifespan (starting with Detector Pack 3.14)	Yes	By default, the parameter is disabled. If you want to display the track lifespan for an object in seconds, select the Yes value
	No
Barcode type	Aztec	Select the type of barcode that will generate

alarms

events from the detector when detected
	DataMatrix
	PDF417
	QR code
	Linear

Decode key framesYes

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.

Notetitle

Attention!

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

are used for decoding
	CPU
	GPU
	HuaweiNPU

Mode

Detector mode

CPU

Select

the )

a processor for the neural network

operation—CPU, one of NVIDIA GPUs, or one of Intel GPUs (see General information on configuring detection

operation (see Selecting Nvidia GPU when configuring detectors)

Note

title	Attention!

We recommend using the GPU. It may take several minutes to launch the algorithm on NVIDIA GPU after you apply the settings. You can use caching to speed up future launches (see Optimizing the operation of neural analytics on GPU in Windows OS, Optimizing the operation of neural analytics on GPU in Linux OS).
Starting with Detector Pack 3.11, Intel HDDL and Intel NCS aren’t supported.
Starting with Detector Pack 3.14, Intel Multi-GPU and Intel GPU 0-3 are supported.

Nvidia GPU 0

Nvidia GPU 1

Nvidia GPU 2

Nvidia GPU 3

Intel NCS (not supported)

Intel GPU


Intel HDDL (not supported)
Intel Multi-GPU
Intel GPU 0
Intel GPU 1
Intel GPU 2
Intel GPU 3
Huawei NPU
Neural network file		If you use a

unique

custom neural network, select the corresponding file.

Note

title	Attention!

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 the barcode of a certain type.

To ensure the correct operation of the neural network

You cannot specify the network file in Windows OS. You must place the neural network file locally, that is, on the same server where you install Axxon One.
For correct neural network operation on Linux OS, place the corresponding file

must be located

locally in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory

.

or in the network folder with the corresponding access rights.
If you use a standard neural network (training wasn't performed in operating conditions), we guarantee the overall accuracy of 80-95% and the percentage of false positives of 5-20%. Standard neural networks are located in the C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroSDK folder.

Number of frames processed per second

20

10	Specify the number of frames for the

detection tool

detector to process per second. The value must be in the range [0.016

;

, 100]
Type	Barcode

Detection

detector

Name of the

detection tool

detector type (non-editable field)

If By default, the entire frame is a detection area.If necessary, in the preview window, set:

one or more detection areas

...

(see Configuring a detection area),
one or more skip areas (see Configuring a skip area).

To save the parameters of the

...

detector, click the Apply

...

Image Added button.

...

To cancel the changes, click the Cancel

...

Image Added button.

...

Configuring the Barcode

...

detector is complete. If necessary, you can create and configure the necessary sub-detectors on the basis of the Barcode detector (see Standard sub-detectors).
Image Added

If necessary, you can search for a barcode in the archive. You can search by the text that

...

is recognized during barcode detection (Search by barcode).

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