BE1029306B1 - INDUSTRIAL ETHERNET CONFIGURATION TOOL WITH PREVIEW FUNCTIONS - Google Patents

Abstract

An industrial Ethernet configuration tool with preview capabilities is disclosed. An example implementation includes a computing device for executing an application, the application being operable to configure an image processing job, wherein configuring the image processing job includes: (1) configuring at least one tool to be executed by the imaging device during execution of the job; (2) configuring an output data stream based on the at least one tool, the output data stream being formatted for communication with a third party computing device; and (3) displaying a representation of an output message, the output message being formed based on: (i) configuring the output data stream and (ii) previously collected job run data, the output message being a representation of a transmission of a message from the imaging device to the third party computing device is.

Description

1 BE2022/5322

INDUSTRIAL ETHERNET CONFIGURATION TOOL WITH

PREVIEW FUNCTIONS

CROSS REFERENCE TO RELATED APPLICATIONS

This application claims priority to US Provisional

Patent Application No. 63/182,491, filed April 30, 2021, which is incorporated herein by reference in its entirety.

BACKGROUND

Over the years, industrial automation has increasingly relied on machine vision components that

can assist operators in a variety of tasks. In some

Implementations use vision components such as cameras to track objects, such as those moving past stationary cameras on a conveyor belt. These cameras (also known as

Imaging devices called) with data processing devices

Third parties such as programmable logic controllers (PLCs) connected. This

However, interaction can be problematic as the PLC often has limited

have functionality and must be programmed according to a specific communication protocol used by the specific PLC. Consequently, outputs of the imagers are usually presented as binary

Transmit presentation of the output data to a PLC. Because of your

Simplicity, such output can be difficult to decipher in order to program the PLC to accept the message correctly. There is thus a

Need for improved systems, facilities and procedures that facilitate

Enable programming of SPS to process image data from

To receive image processing devices correctly.

EXECUTIVE SUMMARY

In one embodiment, the present invention sets out

Method for operating an image processing system, wherein the

Image processing system a data processing device for executing an application and one with the data processing device in

Communications link standing imaging device includes, wherein

9 BE2022/5322 the imaging facility is operable to communicate with a third party

to communicate data processing device. The method may include: configuring an imaging job through the application, wherein configuring the imaging job includes:

configuring at least one tool to be executed by the imaging device during execution of the job; Configure one

Output data stream based on the at least one tool, wherein the

Output data stream for communication with the third party

data processing device is formatted; and displaying a representation of an output message via the application, the representation of the

Output message is formed based on configuring the output data stream, wherein the representation of the output message is a representation of a

Transmission of a user data message from the imaging device to the

Third party data processing facility. The procedure can also

Include: Transferring the image processing job from the

data processing device to the imaging device; and running the

Image processing job on the imaging device, wherein the execution of the image processing job transmitting the user data message from the

Imaging device to the third party data processing device includes.

In a variant of this embodiment, the representation of

Output Message A binary representation of the output data stream.

In another or further variant of this embodiment, the representation of the output message is displayed in response to the

Configure the output stream.

In another or further variant of this embodiment is the

Third-party data processing device is a programmable logic controller

Control (PLC).

In another or further variation, configuring an output stream based on the at least one tool further comprises: based on the at least one tool, displaying a

variety of fields for selection by a user; receiving one

selecting at least one field of the plurality of fields by the user; and

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configuring the at least one tool further based on the selected at least one field.

In another or further variant, configuring an output data stream based on the at least one tool further comprises:

displaying a size field for each field of the plurality of fields; receiving input for at least one of the metrics fields from a user; and

Configure the output data stream further based on the received

Input.

In another or further variant, the display includes a

Presentation of an output message about the application also: Display the

Representing the output message in an input mode by adding a metadata header to the output message.

In another or further variant, the display includes a

Presentation of an output message about the application also: Display the

Presentation of the output message in a raw data mode by displaying

raw data of the output message, and not adding a header with

Metadata about the output message.

In another or further variant includes configuring the output data stream based on the at least one tool

executing each of the at least one tool with a respective one

Input record to receive a corresponding output record.

In another or further variant, the representation of the

Output message also formed based on a previous image.

In another embodiment, the invention sets

Image processing system ready, a data processing device for

Running an application includes, wherein the application for configuring an image processing job is operable, wherein the configuration of the

Imaging job includes: Configuring at least one

Tool used by the imaging facility during execution of the

order is to be carried out; Configuring an output stream based on the at least one tool, the output stream for

communication with a third party data processing facility is formatted; and displaying a representation of an output message about the

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Application, where the presentation of the output message is based on the

Configuring the output data stream is formed, the output message being a representation of a transmission of a user data message from the

imaging device to the third party computing device, wherein the displayed representation of the output message is further formed based on at least one of: (i) user-entered data, (ii) previous image data, or (iii) default data. The application may further be operable to cause the data processing device to transmit the image processing job to an imaging device; and the imaging device may be further configured to receive the image processing job and execute the image processing job that includes transmitting the payload message from the imaging device to the third party computing device.

In a variant of this embodiment, configuring the image processing job further includes forming the displayed representation of the

Output message also based on the data entered by the user.

In another or further variation of this embodiment, configuring the image processing job further includes forming the displayed representation of the output message further based on the earlier ones

image data.

In another or further variant is the representation of

Output Message A binary representation of the output data stream.

In another or further variant, the display takes place

Presentation of the output message in response to configuring the

output stream.

In another or further variant, the third-party

Data processing device a programmable logic controller (PLC).

In another or further variant, the display includes a

Presentation of an output message about the application also: Display the

Representing the output message in an input mode by adding a metadata header to the output message.

In another or further embodiment, the invention provides an image processing system comprising data processing means for

execution of an application. The application is operable to a

to configure an image processing job and the application is further operable to display a representation of an input message by:

Configure an image processing job through the application, where the 5 Configure the image processing job Configure at least one

Tool includes that of an imaging facility during a

execution of the order to be executed; receiving a desired one

Output of the image processing job from a third party

data processing device; Determine the appearance of the input message via the application based on: (i) the configured

image processing order and (ii) the desired output of the

image processing order; and displaying the determined representation of the

Input message about the application.

A variant of this embodiment further includes the

Imaging device, wherein the imaging device is configured so that it receives the image processing order and executes the image processing order, the transmission of a payload data message from the

Imaging device to the third party data processing device includes.

In another or further variant of this embodiment, the third-party data processing device includes a programmable logic controller (PLC).

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying figures, in which like reference numbers refer to identical or functionally similar elements throughout the several views, are together with the following detailed description

Part of the specification and serve to further illustrate

Embodiments of concepts incorporating the claimed invention and explaining various principles and advantages thereof

embodiments.

FIG. 1 is an exemplary system for optimizing one or more imaging settings for an imaging job, in accordance with embodiments described herein.

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FIG. 2 is a perspective view of the imaging device of FIG

FIG. 1 according to embodiments described herein.

FIG. 3 shows an example application interface used for

Optimization of one or more orders is used, according to embodiments described herein.

FIG. 4 shows another exemplary application interface with an application of the binarization tool.

FIG. 5 shows an example interface for specifying input and output parameters for the imaging device using the previously created

to carry out the order.

FIG. 6 shows an example interface resulting from selecting "ADD" from FIG. 5 results.

FIG. 7 shows an example mask resulting from the selection of the

Output "pixel_number" results.

FIG. 8 shows an exemplary mask that results from a selection of the

output "pixel_number_ max".

FIG. 9 shows an exemplary mask that results from a selection of a

tool "Locate object 1" results.

FIG. 10 shows an example mask resulting from a selection of "CONFIRM".

FIG. 11 shows an example mask in which the "Read Barcode 1" tool has been selected.

FIG. 12 shows an example mask in which the "Pixel Count 1" tool has been selected.

13 illustrates an example screen to display a representation of an input message to be entered into the imaging device.

FIG. 14A shows an example of determining a preview message from

output data.

FIG. 14B shows an example of determining a preview message from

input data.

FIG. 15 illustrates an example method for displaying a representation of a transmission of a message output by the imaging device to the third party computing device.

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FIG. 16 illustrates an example method for displaying a representation of a transmission of a third-party

Data processing device entered into the imaging device

News.

One skilled in the art will understand that elements in the figures are presented for simplicity and clarity and are not necessarily to scale. For example, the dimensions of some elements in the figures in

may be exaggerated relative to other elements to facilitate understanding of embodiments of the present invention.

The device and process components are in the

Where appropriate, drawings are represented by conventional symbols, showing only the specific details necessary for understanding the

Embodiments of the present invention are relevant to the

Disclosure not to obscure details that are apparent to those skilled in the art

are readily apparent from reading the present specification.

DETAILED DESCRIPTION

1 shows an example imaging system 100 configured to analyze pixel data of an image of a target object to perform an image processing job, in accordance with various embodiments disclosed herein. In the exemplary embodiment of FIG. 1, the imaging system 100 includes a user

Data processing device 102 (e.g. a computer, a mobile device or a tablet), a control data processing device 105 (e.g. a programmable logic controller (PLC)) and an imaging device 104, which are connected via a network 106 to the user data processing device 102 and the control data processing device 105 in

communication connection is established. In principle, users can

Data processing device 102 and the imaging device 104 in FIG

Be able to execute instructions to implement, for example, operations of the example methods described herein, as described in FIGS

flow charts of the drawings accompanying this specification. The user data processing device 102 is generally configured so that a user / operator

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image processing job for execution on the imaging device 104 can create. Once created, the user/operator can use the

Transmit/upload image processing job via network 106 to imaging facility 104 where the image processing job is then interpreted and executed. After the execution of these orders, the

Imaging device 104 generated output data for further analysis and

Use are transferred to the control data processing device 105. User computing device 102 may be one or more

Operator workstations include and may include one or more processors 108, one or more memories 110, a network interface 112, a

Input/Output (I/O) interface 114 and an application for intelligent

Imaging (smart imaging) 116 include. Similarly, the tax

Data processing facility 105 one or more processors 148, one or more memories 150, a network interface 152, an input/output (I/O) interface 154, and software (possibly embodied in firmware) such as a smart imaging Application 156 include.

The imaging device 104 is connected via a network 106 to the

User computing device 102 connected and configured to receive from user computing device 102

interprets and executes image processing jobs. In general, they can

Imaging device 104 an order file with one or more

Order scripts from the user data processing device 102 via the

Network 106 that can define the image processing job and can configure the imaging device 104 to capture and/or analyze images according to the image processing job. For example, the

Imaging device 104 include flash memory used to determine

storing or otherwise processing imaging data/datasets and/or post-imaging data. The imaging device 104 may then receive, detect, and/or otherwise interpret a trigger that causes the imaging device 104 to capture an image of the

to capture the target object. After acquisition and/or analysis, the imaging device 104 can store the images and all associated data via the

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Network 106 to the user data processing device 102 for further

transfer analysis and/or storage. In various embodiments, the imaging device 104 may be an intelligent ("smart") camera and/or otherwise configured to automatically provide sufficient information

functionality of imaging device 104 to obtain, interpret, and execute job scripts that define image processing jobs, such as one or more job scripts contained in one or more job files, e.g.

Data processing device 102 can be obtained.

In general, the job file can be a JSON representation/JSON

Data format of the one or more order scripts, which is used by the

User data processing device 102 can be transmitted to the imaging device 104 . The job file can also be loaded/read by a C++ runtime engine or other suitable runtime engine running on the

Imaging device 104 is executed. In addition, the

Imaging device 104 operates a server (not shown) configured to wait for and receive job files from user computing device 102 over network 106 . Additionally or alternatively, the server configured to run on

Waiting for and receiving job files as one or more cloud-based

Server can be implemented, such as a cloud-based

data processing platform. For example, the server can be one or more cloud-based platforms such as MICROSOFT AZURE, AMAZON

trade AWS or the like.

In any case, the imaging device 104 can have one or more

Processors 118, one or more memories 120, a network interface 122, an I/O interface 124, and an imaging assembly 126. The

Imaging assembly 126 may be a digital camera and/or a digital

video camera for capturing or recording digital images and/or

include frames. Each digital image may include pixel data that can be analyzed by one or more tools, each configured to perform an image analysis task. The digital camera and/or the digital video camera, e.g., of the imaging assembly 126, may, as

10 BE2022/5322 disclosed herein may be configured to take, capture or otherwise generate digital images, and in at least some embodiments may store such images in a memory (e.g. one or more memories 110, 120) of a respective device (e.g. the user data processing device 102, the imaging device 104).

The imaging assembly 126 may include, for example, a photorealistic camera (not shown) for capturing, sampling, or scanning 2D image data. The photorealistic camera can use an RGB (red, green, blue) based camera for capturing 2D images with RGB based

be pixel data. In various embodiments, the

Imaging arrangement additionally include a three-dimensional (3D) camera (not shown) for acquiring, sampling or scanning 3D image data. The 3D camera may include an infrared (IR) projector and associated IR camera for acquiring, sampling, or scanning 3D image data/datasets.

In some embodiments, the photorealistic camera may

Imaging assembly 126 acquires 2D images and associated 2D image data at the same or a similar time as the 3D camera of imaging assembly 126 such that imaging device 104 can capture both the 3D image data set and the 2D image data set for a particular surface, object, a

area or scene at the same or a similar time

has disposal. In various embodiments, the

Imaging assembly 126 includes the 3D camera and the photorealistic camera as a single imaging device configured to acquire 3D depth image data concurrently with 2D image data. Consequently, the captured 2D images and the corresponding 2D image data can be depth-aligned with the 3D images and 3D image data.

In some embodiments, the imaging assembly 126 may be configured to generate images of surfaces or regions of a predefined search space or of targets within the predefined one

Search space detected. For example, each contained in a job script

tool additionally include a region of interest (ROD) corresponding to a particular region or target object captured by the

imaging assembly 126 is imaged. The composite area that

11 BE2022/5322 through the ROIs for all included in a given job script

Tools is defined, so can define the predefined search space that the

imaging assembly 126 to facilitate execution of the job script. However, the predefined search space can be specified by a user to include a field of view (FOV) that is larger or smaller than the composite area defined by the ROIs of all tools included in the particular job script. It should be noted that the imaging unit 126 can acquire 2D and/or 3D image data/data sets of a multiplicity of regions, so that additional regions in addition to the predefined search spaces are conceivable here. In addition, the

In various embodiments, imaging assembly 126 may be configured to capture other sets of image data in addition to the 2D/8D image data, such as grayscale image data or amplitude image data, which may be depth-aligned with the 2D/3D image data, respectively.

The imaging device 104 may also store the 2D image data/datasets and/or 3D image datasets for use by others

devices (e.g. the user data processing device 102, an external server). For example, the one or more

Processors 118 process the image data or data sets captured, scanned or sampled by the imaging assembly 126 . The processing of

Image data can generate post-imaging data, the metadata, simplified

data, normalized data, results data, status data or alarm data, derived from what was originally scanned or sampled

Image data were determined. The image data and/or the post-imaging data can be sent to the user data processing device 102 that uses the smart

imaging application 136 executes may be sent for viewing, editing, and/or other interaction. In other embodiments, the image data and/or the post-imaging data may be sent to a server for storage or further processing. As described herein, the user computing device 102, the

Imaging device 104 and/or an external server or other centralized processing unit and/or storage store such data and also transmits the image data and/or the post-imaging data to another

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Send application implemented on a user device, such as a mobile device, a tablet, a handheld device, or a desktop device.

Each of the one or more memories 110, 120, 150 may include one or more forms of volatile and/or non-volatile, fixed and/or removable memory, such as read only memory (ROM), electronic programmable read only -Memory (EPROM),

Random Access Memory (RAM), erasable electronic programmable only

Read-only memory (EEPROM) and/or other hard drives, flash memory, MicroSD

maps and others. In general, a computer program or computer-based product, application, or code (e.g., the Smart

Imaging Application 116, or others described herein

Data processing instructions) on a computer usable

storage medium or a tangible non-transient computer-readable

Medium (e.g. standard random access memory (RAM), an optical disk, a

USB (Universal Serial Bus) drive or the like) be stored, in which such a computer-readable program code or computer instructions are included, wherein the computer-readable program code or the

Computer instructions may be installed on or otherwise adapted for execution by the one or more processors 108, 118, 148 (e.g., in conjunction with the respective operating system in the one or more memories 110, 120, 150) to generate the machine-readable instructions,

Facilitate, implement or carry out any procedure, process, element or restriction as set out in the various flowcharts,

illustrations, diagrams, figures and/or other disclosures illustrated, illustrated or described herein. But he can

Program code can be implemented in any desired programming language, namely as machine code, assembly code, bytecode, interpretable

Source code or the like (e.g. via Golang, Python, C, C++, C#, Objective-C,

Java, Scala, ActionScript, JavaScript, HTML, CSS, XML, etc.)

In the one or more memories 110, 120, 150, a

operating system (OS) (e.g. Microsoft Windows, Linux, Unix, etc.) that is capable of the functionalities, applications,

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to enable procedures or other software. In one or more

Storage 110 may also store smart imaging application(s) 116 and/or 156, which may be configured to use the

Enable creation of image processing jobs, as further described herein. Additionally or alternatively, the smart imaging application 116 may also reside in the one or more memories 120 of FIG

imaging device 104 and/or stored in an external database (not shown) accessible via network 106 or otherwise in communication with user computing device 102 . Additionally or alternatively, in the one or more

Storing 130 the smart imaging application/s 116 and/or 156 may be stored, which may be configured to enable the creation of

Enable image processing jobs as further described herein.

Additionally or alternatively, the smart imaging application 156 may also be stored in the one or more memories 120 of the imaging device 104 and/or in an external database (not shown) maintained via the

Network 106 is accessible or otherwise associated with the user

Data processing device 102 is in communication. In some implementations, smart imaging applications 116 and 156 are the same application. In other implementations, the

Smart imaging applications 116 and 156 different applications. The one or more memories 110, 120, 150 can also be machine-readable

store instructions, including one or more applications, one or more software components and/or one or more

Application programming interfaces (APIs) that can be implemented to provide the features, functionality, or others described herein

enable or perform disclosures, such as any

Procedures, processes, elements or restrictions as defined in the various

flowcharts, illustrations, diagrams, figures and/or others

disclosures illustrated, illustrated or described herein.

For example, at least some of the applications, software components, or APIs may be, include, or include an image processing-based imaging application such as the smart imaging application 116, 156

14 BE2022/5322 may otherwise be a part thereof, each of which may be configured to enable its various functions described herein. Note that one or more other applications that can be executed by the one or more processors 108, 118, 148 are conceivable.

The one or more processors 108, 118, 148 may be connected to the one or more memories 110, 120, 150 via a computer bus used for transferring electronic data, data packets or other electronic signals to and from the one or more several

processors 108, 118, 148 and the one or more memories 110, 120, 150 to store the machine-readable instructions, methods, processes,

implement or perform elements or limitations illustrated, depicted, or described in the various flowcharts, illustrations, diagrams, figures, and/or other disclosures herein.

The one or more processors 108, 118, 148 may be coupled to the one or more memories 110, 120, 150 via the computer bus to execute the operating system (OS). The one or more processors 108, 118, 148 may also be coupled to the one or more memories 110, 120, 150 via the computer bus for creating, reading, updating, deleting or otherwise retrieving data and with them to interact stored in the one or more memories 110, 120, 150 and/or external databases (e.g. a relational database like

Oracle, DB2, MySQL or a NoSQL-based database such as MongoDB). The data stored in the one or more memories 110, 120, 150 and/or an external database can be all or one

Include some of the data or information described herein, including, for example, images from image processing jobs (e.g. images obtained from the

imaging device 104 captured in response to execution of a job script) and/or other suitable information.

The network interfaces 112, 122, 152 may be configured to transmit data via one or more external/network ports to one or more networks or local terminals such as that described herein

network 106, communicate (e.g., send and receive). In some

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According to embodiments, the network interfaces 112, 122, 152 can have a client

Include server platform technology such as ASP.NET, Java J2EE, Ruby on Rails, Node.js, a web service or online API that responds to and responds to electronic requests. The network interfaces 112, 122, 152 can implement client-server platform technology that can interact with the one or more memories 110, 120, 150 (including the applications, components, APIs, data, etc. stored therein) via the computer bus. to the machine-readable instructions, procedures, processes, items or

implement or perform limitations as illustrated, depicted, or described in the various flowcharts, illustrations, diagrams, figures, and/or other disclosures herein.

According to some embodiments, network interfaces 112, 122, 152 may include one or more transceivers (e.g., WWAN, WLAN, and/or

WPAN transceivers ) contain or interact with them, pursuant to

IEEE standards, 3GPP standards, 4G, 5G, 6G or other standards work and can be used to receive and transmit data over external/network ports connected to network 106. In some embodiments, network 106 may include a private network or a local area network (LAN). Additionally or alternatively, network 106 may include a public network such as the Internet. In some embodiments, network 106 may include routers, wireless switches, or other such wireless connection points that communicate with user computing device 102 (via the

Network interface 112), the control data processing device 105 (via the network interface 152) and the imaging device 104 (via the

network interface 122) via wireless communications based on one or more different wireless standards including, but not limited to, IEEE 802.11a/b/c/g (WIFT), the

BLUETOOTH standard or the like.

The I/O interfaces 114, 124, 154 may include or implement operator interfaces configured to provide a

Display administrator or operator information and/or input from

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Administrator or operator received. An operator interface can

Provide display screen (e.g. via the user

Data processing device 102 and/or the imaging device 104), which a user/operator can use to display any images, graphics, text,

data, features, pixels and/or other suitable visualizations or

to visualize information. For example, the user

Data processing device 102, the control data processing device 105 and/or the imaging device 104 at least partially a graphic

User Interface (GUT) for displaying images, graphics, text, data,

features, pixels and/or other suitable visualizations or

Include, implement, access, play, or otherwise disclose information on the display screen. The I/O interfaces 114, 124, 154 may also include I/O components (e.g., connectors, capacitive or resistive touch-sensitive input pads, buttons, knobs,

lights, LEDs, any number of keyboards, mice, USB drives, optical drives, monitors, touch screens, etc.) directly/indirectly via the user computing device 102, the control

Data processing device 105 and/or the imaging device 104 can be accessed or which are connected to them. According to some

Embodiments, an administrator or user/operator can access the

User data processing device 102, the control

Access data processing device 105 and/or imaging device 104 to create orders, review images or other information, make changes, enter answers and/or selections, and/or perform other functions.

As described above, in some embodiments, the

User Data Processing Device 102 as described herein

Perform functions as part of a "cloud" network or otherwise communicate with other hardware or software components within the cloud to send, retrieve, or otherwise analyze data or information described herein.

FIG. 2 is a perspective view of imaging device 104 of FIG. 1 according to embodiments described herein. The

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Imaging device 104 includes a housing 202, an imaging bezel 204, a user interface label 206, a dome switch/button 208, one or more light emitting diodes (LEDs) 210, and one or more

Attachment points 212. As previously mentioned, the imaging facility 104 may receive job files from a user computing device (e.g., the

User data processing device 102) received that the

Imaging device 104 then interpreted and executed. The one in the

instructions contained in the job file

Device configuration settings (also referred to herein as "imaging settings") that serve to

Configuration of the imaging device 104 before capturing images of a

Adjust target object.

For example, the facility configuration settings may

Instructions for adjusting one or more settings related to the

Imaging aperture 204 include. As an example, assume that at least a portion of the intended analysis corresponding to an image processing job requires the imaging device 104 to maximize the brightness of each captured image. To meet this requirement, the

Job file Setup configuration settings to increase the

Aperture size of the imaging aperture 204 include. The imaging device 104 may interpret these instructions (e.g., via one or more processors 118) and increase the aperture size of the imaging aperture 204 accordingly. Thus, the imaging device 104 may be configured to automatically adjust its own configuration to match a specific one

optimally corresponds to the image processing job. In addition, the

Imaging device 104 includes, but is not limited to, one or more bandpass filters, one or more polarizers, one or more DPM diffusers, one or more C-mount lenses, and/or one or more C-mount liquid lenses, which via the through the

Imaging aperture 204, lie within, or otherwise affect, include, or be adapted to include, illumination received.

The user interface identifier 206 can den

Include dome switch/button 208 and one or more LEDs 210 and

18 BE2022/5322 thereby enable a variety of interactive and/or display features. In general, the user interface label 206 may allow a user to trigger and/or tune the imaging device 104 (e.g., via the dome switch/button 208) and identify when one or more functions, errors, and/or other actions related to the

imaging device 104 have been performed or have occurred (e.g., via the one or more LEDs 210). For example, the

A dome switch/button trigger function (e.g., dome switch/button 208) allows a user to capture an image with imaging device 104 and/or a trigger configuration screen

Display user application (e.g. the smart imaging application 116). The

Trigger configuration screen may allow the user to configure one or more triggers for the imaging device 104 used in the

memories (e.g., one or more memories 110, 120) for use in later developed image processing jobs, as will be described herein.

As another example, the voting function can be a

dome switch/button (e.g., dome switch/button 208).

Users allow the configuration of the imaging device 104 to be configured automatically and/or manually according to a preferred/predetermined

set configuration and/or display an imaging configuration screen of a user application (e.g., smart imaging application 116).

The imaging configuration screen may allow the user to configure one or more configurations of imaging device 104 (e.g., aperture size,

exposure length, etc.) stored in memory (e.g. one or more memories 110, 120) for use in later developed

Image processing jobs can be stored as described herein.

To expand on this example, and as explained further herein, a user can access the imaging configuration screen (or more generally the

Smart imaging application 116, 156) use two or more

determine configurations of imaging settings for the imaging device 104 . The user can then choose these two or more configurations of

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Save imaging settings as part of an imaging job, which is then sent to the

Imaging device 104 is transmitted. One or more

Job scripts can then direct the processors of the imaging device 104 (e.g., one or more processors 118) to change the imaging settings of the

imaging means after each successive image acquisition automatically and sequentially according to one or more of the two or more

Adjust configurations of imaging settings.

The attachment point(s) 212 may allow a user to attach the imaging device 104 to an attachment device (e.g., an imaging tripod, camera mount, etc.), a

Structure surface (e.g. a warehouse wall, a warehouse ceiling, a

structural support beams, etc.), other accessories and/or other suitable ones

To connect and / or releasably attach connecting devices, structures or surfaces. For example, the imaging device 104 can optimally be mounted on a mounting device in a distribution center, a

manufacturing facility, warehouse and/or other facility to ensure quality/consistency of products, packages and/or other

to image and monitor objects as they enter the field of view of the

Imaging device 104 happen. In addition, the

Attachment points 212 allow a user to

connect imaging device 104 to a variety of accessories, including but not limited to one or more external ones

Lighting devices, one or more

Fastening devices/brackets and the like.

In addition, the imaging device 104 can have multiple

Hardware components included in the housing 202 that connect to a

computer network (e.g. the network 106). For example, the

Imaging device 104 a network interface (e.g. the

network interface 122) that enables the imaging device 104 to connect to a network, such as a gigabit

Ethernet connection and/or a Dual Gigabit Ethernet connection. Further, the imaging device 104 may be transceiver and/or other

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Include communication components as part of the network interface to communicate with other devices (e.g. the user computing device 102) e.g. via Ethernet/IP, PROFINET, Modbus TCP, CC-

Link, USB 3.0, RS-232 and/or any other suitable communication protocol or combinations of these.

FIG. 3 shows an example application interface 300 used for

Optimization of one or more orders is used, according to embodiments described herein. In general, the exemplary

Application interface 300 represent an interface of a smart imaging application (e.g. the smart imaging application 116) to which a user can access via a user computing device (e.g. the user

Data processing device 102) can access. In particular, the example application interface 300 may present a user with a series of menus for creating a new job or editing a current job. When creating a new job, the user can choose from a

Select variety of tools that make up a specific job. Such tools may include, but are not limited to, (i) a

barcode scanning/reading tool, (ii) a pattern matching tool, (iii) a

edge detection tool, (iv) a semantic segmentation tool, (v) an object detection tool, (vi) an object tracking tool, (vij) a

count binarization tool etc. In addition, various examples of tools are visible in the left window 302 of the interface 300.

In some embodiments, the user chooses to create a

Job from the "CREATE" tab 304 seen on the interface 300. From this point the user can add any number of

Select tools from window 302 by dragging each tool into center window 306. During execution, the job is normally carried out in such a way that the individual tools are used in sequence as in

Overall order plan planned to be executed. In the example of FIG. 3 it can be seen that three tools were selected for the job: (1) locate object 1; (2) Brightness 1; and (8) pixel count 1. If desired, any

tool can be further customized to specify various parameters,

21 BE2022/5322 associated with each of these tools. To move on to the next phase of

To access order creation, the user can select "EXIT".

FIG. 4 shows another example application interface 400 used to optimize one or more jobs, in accordance with embodiments described herein. The example in FIG. 4 includes one

Application of binarization tool 404. In some embodiments, the binarization tool takes the portion of the image captured from the ROI and converts it to either a black or white pixel.

If the area in focus is a grayscale photo, the tolerance set in the tool can be matched to the pixel values in the image, with anything above that tolerance then being a white pixel, while any black value (0-255 ), which lies below, in

is converted to black.

After creating a job, the user can then select the "CONNECT" tab 500 as shown in FIG. 5 shown, which is an exemplary

Interface 502 for specifying input and output parameters for the

imaging device to run the previously created job.

As already mentioned, the imaging device (e.g. 104 in

FIG. 1) that executes the job, the results of that job often to a

Third party data processing equipment (e.g. 105 in FIG. 1) such as a PLC. Due to the limited processing and programming possibilities of a typical PLC, practically only certain data can be transferred to the PLC. The determination of the data to be transferred can be determined by selecting "ADD" 504 in the interface 502 result data window. By this selection, the one shown in FIG. 6 interface 600 is invoked. Here three main windows are available to the user: the

tool window 602, the output data window 604 and the

Preview message window 606. Note that these

Nomenclatures are exemplary only and serve to convey the meaning of the process.

In the tool window 602, the user selects one of the previously configured jobs for which certain information is to be sent to a third party

facility are to be transferred. In the example of FIG. 6 will be the order

99 BE2022/5322 "Number of pixels 1" selected. Once the selection is made, appropriate data outputs for the particular job are provided in the output data window 604 as a list of selectable items.

From this point the user can select any data output to be output to an external device. Under

Referring to FIG. 6 to 8 is a flow of selecting the desired ones

Outputs can be seen where in FIG. 6, the user sees the "pixel_count" output 620, in the example interface 700 of FIG. 7 the output 720 "pixel_num_min" and in the example surface 800 of FIG. 8 the

Output 820 selects "pixel_number_ max".

Selecting each output parameter returns the

Preview message window 606, in some embodiments, a

Preview message 610, 710, which may be the result data value of one or more of the selected result parameters. In this way, a user can determine exactly which data stream from which

Imaging device is sent to the third party device (such as a SPS). As the course of FIG. 6 and 7 can be seen, the changes

Preview message with the selection of each result parameter from the

preview message 610 to preview message 710. In some embodiments, as illustrated in the examples of FIG. 6 and 7, the preview message 610, 710 is a decimal representation of the user data message that is to be transmitted from the imaging device 104 to the control data processing device 105. The

However, preview message 610, 710 can be in any suitable form for a protocol between the imaging device 104 and the control

Data processing device 105 are created. For example, the

Preview message 610, 710 may be in any alphanumeric form (e.g., binary, hexadecimal, etc.) instead of decimal.

In some embodiments, the preview message may be displayed as a continuous stream of data generated by the

Imaging device is output. In some embodiments, each portion of the preview message that corresponds to a selected result data value can be visually separated from any other portion of the preview message.

For example, spaces, dashes, slashes, etc. can be used

23 BE2022/5322 to visually identify the individual sections of the preview message 610, 710. In some embodiments, any part of the

Preview message will be highlighted with a specific color, which is a

selection of a specific result data field. For example, if "pixel_count" 620 is selected, each part of that row can be highlighted with a specific color. At the same time, the preview message 610, 710 is modified to contain a corresponding binary representation, which can also be highlighted (either by a background or by text color) with the same color. When the mouse pointer is moved over a certain part of the preview message 610, 710, in some

embodiments, a floating window will appear indicating which

Results data parameters this part corresponds to. In this sense, in some

Embodiments, when hovering over a result data parameter, a floating window appears that indicates which part of the preview message 610, 710 corresponds to this result data parameter.

In addition, the user can choose between an input mode (e.g., by pressing the input mode button 625) and a raw data mode (e.g., by pressing the raw data mode button 630). In the

Input mode is in some embodiments of the output message

Added header with metadata. In some implementations, the

Metadata Message size information. In raw mode, in some embodiments, no header is added to the displayed output message.

In some embodiments, an image (e.g., a previous image or a test image) may be loaded before the "Result Data" part

Configuration" of the application will continue. This way you can

Sample data can be visualized in the various values associated with the result data values. In addition, at the

selection of each result data, the result values are manually edited to determine how those edits affect the

preview message. In addition, the user can

Edit default values and save them with the job for later editing. The user can also specify (e.g. in size field 615) the size of the to

94 BE2022/5322 and in the case of collections of result data (multiple barcodes) sent via the PLC, the maximum size of the

edit arrays.

To explain further, to generate the preview message 610, 710, in some embodiments, an image (e.g., the previous image or

test image) are loaded into memory 120. The image can be of any suitable

source originate. For example, the user can upload a picture of their

Smartphone upload, or the earlier picture can be a picture from a previous one

job run, a simulated image, a standard image, etc. The processor 118 then creates the data set from the image that is used to generate the

Preview message 610, 710 is used. If some or all data belonging to the

Generation of the preview message 610, 710 are not included in the image (or in the data set generated from the image) may in some

Embodiments use standard data instead. For example, if the image loaded into memory 120 does not contain a barcode,

Standard data used to create the preview message 610, 710 (if the job requires information about a barcode).

Once the selection process for a specific tool is complete, the user can move to another tool within the

tool window 602. Such a transition is shown in FIG. 9, where the example interface 902 indicates that the user has transitioned to the "Locate Object 1" tool 910. As with the previous tool, the

Again, users select any desired result data parameter to be included in the imaging device output. In particular, selections made in the original (or any other) tool configuration are not disregarded. Instead, the

Preview message still based on all selected

Results data fields changed.

After completing the selection of all necessary result data fields, the user selects "CONFIRM" 900 to save the settings and return the application to the previous screen, as in the exemplary one

surface 1000 of FIG. 10 shown. As can be seen, on this

Score the Results Data window (1010) based on the ones previously met

95 BE2022/5322

Selections are filled in and a preview message for them is shown below

selections displayed.

FIG. 11 and 12 show further examples. FIG. 11 shows an example

Screen 1100 in which tool 1110 "Read Barcode 1" has been selected and the "Field" column filled in appropriately (e.g., with "Decode.Match_Mode", "Decode.Match_Chain", and "Decode.No_Read_Chain"). FIG. 12 shows an example screen 1200 in which the "Pixel Count 1" tool 1210 has been selected and the "Field" column 1220 filled in appropriately (e.g., with "Pixel_Range_Low", "Pixel_Range_High", "Pixel_Number_Low", and "Pixel_Number_High").

A similar approach can be found on the input page of the

Imaging device 104 may be implemented wherein a user may specify what inputs to receive at imaging device 104 . The specification of these inputs can also provide a preview message that would need to be issued by the PLC (or a third party computing device) for proper communication to occur. This "reverse" process is useful when the tax

Data processing device 105 is used to control imaging device 104 (e.g. if control data processing device 105

sends data to the imaging device 104 to change the job simultaneously ("on the fly").

In this regard, Figure 13 illustrates an example

Mask to represent a image to be input into the imaging device

display input message. Specifically, in the exemplary screen 1300, the "Read Barcode" tool has been selected and the preview

Input message 1310 displayed.

FIG. 14A illustrates an example of determining a

Sample preview of output data while FIG. 14B an example of that

Demonstrates how to determine a pattern preview of input data. In the

Example method 1400 of FIG. 14A, in block 1405, an order with

creates standard output data (e.g. data that would be output from imaging device 104 to control data processing device 105). In

Block 1410 determines whether there is user-defined data (e.g., from

26 BE2022/5322 data entered by a user). In this context, it should be noted that the user can enter data in any suitable way. For example, the user can enter data in the output window 604 and thus previously in the

Output window 604 "overrides" existing defaults. If user-defined data is available, it is used when calculating the

Message preview used in block 1420 instead of standard output data.

If there is no user-defined data, block 1415 determines whether there is data from a job run (e.g., from a

job run from the earlier image described above or from a previously run job, etc.). If this is the case, the

Job run data in block 1424 in determining the

Message preview used. If there is no job run data, in block 1430 the default data is used in determining the

Message preview used.

In block 1435, the message template preview is assembled.

Note that in some embodiments, blocks 1410 through 1430 may be iterated through each of the fields (e.g., each of the rows in the output window 604) before assembling the full preview message template in block 1435. This way, for some fields, the

Default values are used, while for other fields the data entered by the user and/or for still other fields previously collected

Job flow data is used.

FIG. 14B shows an example of determining a preview message of data transferred from the control data processing device 105 to the

Imaging device 104 would be entered. As mentioned above, this "reverse" process is useful when the control

Data processing device 105 is used to control imaging device 104 (e.g. if control data processing device 105

sends data to the imaging device 104 to change the job simultaneously ("on the fly"). At block 1455, an order is created with standard input data. In block 1460, it is determined whether user-defined data (e.g., data entered by a user) is present. In this context, it should be noted that the user can enter data in any suitable way. So

27 BE2022/5322, for example, the user can enter data on the

Data processing device 105, the imaging device 104 and/or the

Enter user data processing device 102.

If user-defined data is present, it is used in block 1465 in determining the preview message. If there is no user-defined data, in block 1470 the

Default data used in determining the preview message. In block 1475, the message template preview is assembled. Note that in some embodiments, blocks 1460 through 1470 may be iterated through each of the fields of the input message before assembling the full preview message template in block 1475 .

This allows some fields to use the default values, while other fields use the user-entered data.

It should also be noted that the preview message may be formatted based on a default formatting scheme or based on the expected

Protocol can be formatted, which is used for communication between the

Imaging device and the third party data processing device 105, for example a PLC, is to be used. So she can

In some cases, the preview message can be a binary message, it can be a decimal message, it can contain alphanumeric characters, or it can be formatted in any way compatible with the implemented protocol.

The approach described here can be particularly beneficial as it provides insight into the specific message being conveyed by the

Imaging device is transmitted to a third party data processing device and helps to delineate different parts of this message. With this information it is possible to

Data processing device 105 (e.g. a PLC) much easier to program since the content of the message is no longer unknown. In other words: while the PLC programmer normally knows the general content of the transmitted user data (e.g. the fact that the

message contains a number of pixels), it usually does not know which one

28 BE2022/5322

part of the message represents the number of pixels. This lack of knowledge hinders efficient programming of the PLC and effective communication between the imaging devices and the PLC. The approaches presented here help to overcome this difficulty.

EXAMPLE PROCEDURE

FIG. 15 illustrates an example method 1500 for

View a representation of a broadcast of one of the

message issued by the imaging facility to the third-party

data processing facility. The example method 1500 begins with

Configure (e.g. via the application(s) 116 and/or 156) of the

image processing job (e.g. by executing block sequence 1510). In some embodiments, configuring the image processing job may particularly include configuring at least one tool used by the

imaging device is to be executed during execution of the job (e.g., block 1520). In some implementations, this includes

configuring the at least one tool: Ci) based on the at least one tool, displaying a plurality of fields (e.g.

field columns 1120, 1220) for selection by a user; (ii) receiving a

selecting at least one field of the plurality of fields by the user; and (ii) configuring the at least one tool further based on the at least one selected field.

At block 1530, configuring the image processing job may further include configuring an output data stream based on the at least one tool, wherein the output data stream is formatted for communication with the third party computing device. At block 1540, configuring the image processing job may also display a

Include presentation of an output message via the application 116, 156, where the presentation of the output message is based on the configuration of the

Output data stream is formed, wherein the representation of the output message is a representation of a transmission of a user data message from the

imaging device to the third party data processing device.

In some embodiments, when user-entered data is present (e.g., as determined at block 1410 in FIG. 14A), the displayed

29 BE2022/5322

Output message also formed based on the data entered by the user. In addition, it should be noted that the type of data used (e.g. entered by the user, previously recorded order flow data or

Standard data as in the example of FIG. 14A) for each tool or field. For example, if a user is in the

Sample mask 1200 in FIG. 12 selects the pixel_area_low and pixel_area_high fields and then enters data for pixel_area_low only, the user-entered data will be used for pixel_area_low, while pixel_area_high will use previously collected job data or

standard data are used. It should be noted that in some

Implementations of some or all blocks of example method 1400 of FIG. 14A at block 1540 of FIG. 15 done to determine what data for the

Calculating the representation of the output message can be used.

In block 1550, the image processing job (e.g., from the

user data processing device or the control

Data processing device) transmitted to the image processing device.

At block 1560, the image processing job is performed on the imaging device, which may also include transmitting the message from the imaging device to the third party computing device.

FIG. 16 illustrates an example method 1600 for

Viewing a representation of a transmission of a third-party

Data processing device entered into the imaging device

News. The example method 1600 begins at block 1610 with configuring (e.g., via the application(s) 116 and/or 156) the image processing job. In

Block 1620 gets a desired output of the image processing job from a

Third party data processing facility received.

At block 1630, the input message presentation is turned on

determined based on the following: (i) the configured

image processing order and (ii) the desired output of the

image processing job. In some embodiments, the desired

Output of the image processing job in whole or in part as in

Example method 1450 of FIG. 14B calculated.

30 BE2022/5322

At block 1640, the particular representation of the input message is displayed.

It should be noted that example methods 1500, 1600 may be derived in whole or in part from any suitable component (or components) shown in FIG. 1 is (are) shown, can be carried out. For example, each of the

Example methods may be performed by one or both of smart imaging applications 116 and/or 156.

Additionally, note that each of the actions described in example methods 1500, 1600 can be performed in any order, number of times, or any other suitable combination. For example, some or all blocks of methods 1500, 1600 may be completed one or more times. In some example implementations, some of the blocks may not be executed while still performing the operations described herein.

ADDITIONAL CONSIDERATIONS

The above description refers to a block diagram of the accompanying drawings. Alternative implementations of the through the

The example illustrated in the block diagram includes one or more additional or alternative elements, processes, and/or devices. Additionally or alternatively, one or more of the example blocks of the chart may be combined, split, rearranged, or omitted. Components represented by the blocks of the diagram are represented by hardware, software,

firmware and/or any combination of hardware, software and/or

Firmware implemented. In some examples, at least one of the

Components shown blocks implemented by a logic circuit.

As used herein, the term "logic circuit" is expressly defined as a physical device that includes at least one hardware component that is configured (e.g., by operating according to a predetermined configuration and/or by executing stored machine-readable instructions) to control one or more machines and /or perform operations of one or more machines. Examples of a logic circuit include one or more processors, one or more coprocessors, one or more

Microprocessors, one or more controllers, one or more digital

31 BE2022/5322

Signal Processors (DSPs), one or more application specific integrated

Integrated circuits (ASICs), one or more freely programmable gate arrays (FPGAs), one or more microcontroller units (MCUs), one or more

Hardware accelerators, one or more special purpose computer chips, and one or more system on a chip (SoC) devices. Some example logic circuits, such as ASICs or FPGAs, are specially configured

Hardware to perform operations (e.g., one or more of the operations described herein and illustrated in the flowcharts of this disclosure, if any). Some example

Logic circuits are hardware that executes machine-readable instructions to perform operations (e.g., one or more of those described herein and illustrated by the flowcharts of this disclosure

operations, if any). Some example logic circuits include a combination of specially configured hardware and hardware that executes machine-readable instructions. The foregoing description relates to various operations and described herein

Flow charts used to illustrate the flow of these operations

description can be attached. All such flowcharts are representative of example methods disclosed herein. In some

In examples, the methods represented by the flowcharts implement the devices represented by the block diagrams. alternative

Implementations of example methods disclosed herein may involve additional or alternative operations. In addition, you can

Operations of alternative implementations of the methods disclosed herein may be combined, partitioned, rearranged, or omitted. In some

For example, the operations described herein are implemented by machine-readable instructions (e.g., software and/or firmware) embodied on a medium (e.g., tangible machine-readable medium) for

execution by one or more logic circuits (e.g. processor(s)). In some examples, those described herein are used

Operations implemented by one or more configurations of one or more specially designed logic circuits (e.g. ASIC(s)). In some examples, the operations described herein are performed by a combination of

392 BE2022/5322 implemented specially designed logic circuits and machine-readable instructions written on a medium (e.g. a tangible machine-readable

medium) for execution by logic circuit(s).

In the present case, the terms "material machine-readable

medium", "non-transient machine-readable medium" and "machine-readable

Storage device" each expressly defined as a storage medium (e.g. a disk of a hard disk drive, a digital versatile disc, a compact

disc, flash memory, read-only memory, random access memory, etc.) storing machine-readable instructions (e.g., program code in the form of, for example, software and/or firmware) for any suitable length of time (e.g., persistently, for an extended period of time (e.g. while executing a program associated with the machine-readable instructions) and/or for a short period of time (e.g. while caching the machine-readable

instructions and/or during a buffering process)).

Furthermore, the terms "material machine-readable

medium", "non-transient machine-readable medium" and "machine-readable

storage device" each expressly defined as propagating

exclude signals. That is, none of the terms "tangible machine-readable medium," "non-transient machine-readable medium," and "machine-readable

memory device" can be read to be implemented by a propagating signal.

Concrete embodiments have been described in the above specification. However, it will be apparent to those skilled in the art that various modifications and changes can be made without departing from the scope of the invention as set forth in the claims below.

Accordingly, the specification and figures are to be regarded in an illustrative rather than a restrictive sense, and all such modifications are intended to be encompassed within the

scope of the present teachings. In addition, the described

Embodiments/examples/implementations are not to be interpreted as mutually exclusive, but as potentially combinable, to the extent that such combinations are permitted in any way. In other words:

Any feature contained in any of the foregoing

33 BE2022/5322

Embodiments/examples/implementations disclosed may be included in any of the other embodiments/examples/implementations above.

The benefit, advantages, problem solutions, and all elements that may result in a benefit, advantage, or solution occurring or being more pronounced are not intended to be critical, required, or essential

to understand features or elements of any or all claims. The claimed invention is made solely by the appended claims, including all those made during the pendency of this application

Amendments and all granted equivalents of these claims. Out of

For the sake of clarity and concise description, features are described herein as part of the same or separate embodiments, but it is to be understood that the scope of the invention co-exists with embodiments

Combinations of all or some of the features described may include. It should be understood that the embodiments shown are the same or similar

components, except where described as different.

In addition, in this document, relational

Terms such as "first" and "second", "above" and "below" and the like are used merely to distinguish one entity or action from another entity or action, without necessarily implying an actual such relationship or order between those entities or actions requires or implies. The terms "includes," "comprising," "has," "with," "includes," "including/among them," "includes," "including," or any other variation thereof is intended to cover such non-exclusive inclusion that a process, method, article, or device that includes, includes, includes, includes a list of items includes not only those items but may include other items not expressly listed or inherent to such a process,

process, article or device. An element beginning with "comprises...a", "has...a...", "contains...a", "contains...a". , excludes the existence of other identical ones without further restrictions

34 BE2022/5322

elements in the process, method, article, or device that comprises, has, includes, or contains the element. The

Term "a" is defined as one or more unless expressly stated otherwise herein. The terms "substantially," "about," "about," or variations thereof are defined as meaning in accordance with

understanding of a person skilled in the art, and in one non-limiting embodiment the term is defined as being within 10%, in another embodiment within 5%, in another embodiment within 1% and in another

embodiment within 0.5%. As used herein, the term "coupled" is defined as connected, although not necessarily directly and not necessarily mechanically. A device or structure that is "configured" in a particular way is configured in at least that way, but may be configured in other ways that are not listed.

The summary of the disclosure is intended to enable the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, from the foregoing detailed description, it can be seen that various

Features in different embodiment are summarized to the

streamline revelation. This approach to disclosure should not be construed to mean that the claimed embodiments require more features than are explicitly recited in each claim. Like the following

Claims show the subject matter of the invention in fewer than all

Features of a single disclosed embodiment are. The following

Claims are thus hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter. The mere fact that certain measures are used in mutually different claims does not indicate that a combination of these measures cannot be used to advantage. Many variants are conceivable for a person skilled in the art. All variants fall within the scope of the invention as defined in the following claims.

Claims (20)

35 BE2022/5322 CLAIMS 1. A method of operating an imaging system, the imaging system including a computing device for executing an application, and an imaging device in communication with the computing device, the imaging device being operable to communicate with a third-party computing device. A method, the method comprising: configuring an image processing job via the application, wherein configuring the image processing job includes: configuring at least one tool to be executed by the imaging device during execution of the job; configuring an output data stream based on the at least one tool, the output data stream being formatted for communication with the third party computing device; and displaying a representation of an output message via the application, the representation of the output message being formed based on configuring the output data stream, the representation of the output message being a representation of a transmission of a payload message from the imaging device to the third party computing device; Transmission of the image processing job from the data processing device to the imaging device; and executing the image processing job on the imaging device, wherein executing the image processing job includes transmitting the user data message from the imaging device to the third-party data processing device. 2. The method of claim 1, wherein the representation of the output message is a binary representation of the output data stream. 36 BE2022/5322 3. The method of claim 1 or 2, wherein displaying the representation of the output message is responsive to configuring the output data stream. 4. The method according to any one of the preceding claims, wherein the third-party data processing device is a programmable logic controller (PLC). 5. The method of claim 1, wherein configuring an output stream based on the at least one tool further comprises: based on the at least one tool, displaying a plurality of fields for selection by a user; receiving a selection of at least one field of the plurality of fields from the user; and configuring the at least one tool further based on the at least one selected field. 6. The method of claim 5, wherein configuring an output data stream based on the at least one tool further comprises: displaying a size field for each field of the plurality of fields; receiving input from a user for at least one of the size fields; and configuring the output data stream further based on the received input. 7. The method of claim 1, wherein displaying the representation of the output message via the application further comprises: displaying the representation of the output message in an input mode by adding a header comprising metadata to the output message. 8. The method of any one of preceding claims 1 to 8, wherein displaying the representation of the output message via the application further comprises: 37 BE2022/5322 Displaying the representation of the output message in a raw data mode by displaying raw data of the output message, and not adding a header comprising metadata to the output message. 9. The method of claim 1, wherein configuring the output data stream based on the at least one tool includes executing each of the at least one tool with a respective input data set to receive a corresponding output data set. 10. The method according to any one of the preceding claims, wherein the representation of the output message is further formed on the basis of a previous image. 11. An image processing system, comprising: a data processing device for executing an application, the application being operable to configure an image processing job, the configuring of the image processing job including: configuring at least one tool to be executed by the imaging device during an execution of the job; configuring an output data stream based on the at least one tool, the output data stream being formatted for communication with a third party computing device; and displaying a representation of an output message via the application, wherein the representation of the output message is formed based on configuring the output data stream, the output message being a representation of a transmission of a payload message from the imaging device to the third party computing device, wherein the displayed representation of the output message is further is formed based on at least one of: (i) data entered by a user, (ii) previous image data, or (iii) standard data; 38 BE2022/5322 wherein the application is further operable to cause the data processing device to transmit the image processing job to the imaging device; and wherein the imaging device is configured to receive the image processing job and execute the image processing job that includes transmitting the payload message from the imaging device to the third party computing device. 12. The system of claim 11, wherein configuring the image processing job further includes forming the displayed representation of the output message further based on the user-entered data. The system of claim 11 or 12, wherein configuring the image processing job further includes forming the displayed representation of the output message based further on the prior image data. 14. System according to any one of claims 11 to 13, wherein the representation of the output message is a binary representation of the output data stream. 15. The system of any one of claims 11 to 14, wherein displaying the representation of the output message is responsive to configuring the output data stream. 16. System according to any one of claims 11 to 15, wherein the third-party data processing device is a programmable logic controller (PLC). The system of any one of claims 11 to 16, wherein displaying a representation of an output message via the application further comprises: displaying the representation of the output message in an input mode by adding a header comprising metadata to the output message. 18. An image processing system, comprising: a data processing device for executing an application, the application being operable to process an image processing job 39 BE2022/5322, and wherein the application is further operable to display a representation of an input message by: configuring an image processing job via the application, wherein configuring the image processing job includes configuring at least one tool to be executed by an imaging device during execution of the job shall be; receiving a desired output of the image processing job from a third party computing device; determining the representation of the input message via the application based on: the configured image processing job and (ii) the desired output of the image processing job; and displaying the determined representation of the input message via the application. 19. The system of claim 18, further comprising the imaging device, wherein the imaging device is configured to receive the image processing job and execute the image processing job that includes transmitting a payload message from the imaging device to the third-party computing device. 20. System according to claim 18 or 19, wherein the third-party data processing device comprises a programmable logic controller (PLC).