Zebra Aurora Vision Studio
Aimed at machine and computer vision engineers, Aurora Vision Studio software enables users to quickly create, integrate, and monitor powerful machine vision applications without the need to write a single line of code.
Quickly Create Powerful Machine Vision Applications
Machine and computer vision engineers can use Zebra Aurora Vision Studio™ to quickly create, integrate, and monitor powerful machine vision applications. Advanced yet easy-to-use and hardware-agnostic, this industry-leading software provides an intuitive graphical environment for the creation of sophisticated vision applications – without the need to write a single line of code.
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Documentation

Beginner

Installation

Requirements & installation procedure

Beginner

Main Window Overview

The user interface of Aurora Vision Studio has been carefully designed for optimal user experience, learn more about this here

Beginner

Main Menu and Application Toolbar

The Application Toolbar contains buttons for most commonly used actions and settings.

Beginner

Application Settings

Aurora Vision Studio is a customizable environment and all its settings can be adjusted in the Settings window, located in the Tools » Settings menu.

Intermediate

Introduction to Data Flow Programming

Aurora Vision Studio does not require the user to have any experience in low-level programming. Nevertheless, it is a highly specialized tool for professional engineers and a fully-fledged visual programming language.

Intermediate

Running and Analysing Programs

One of the best ways to learn Aurora Vision Studio quickly is to study the example projects that come with the application.

Intermediate

Acquiring Images

Aurora Vision Studio is not limited to any fixed number of image sources. Instead, image acquisition is a regular part of the library of filters (tools).

Intermediate

Preview and Data Presenting

Once you execute filters (tools) in the program it is possible to display their inputs and outputs on the Data Preview panel.

Beginner

First Program: Simple Blob Analysis

This article demonstrates the basic workflow in Aurora Vision Studio with an example of simple blob analysis.

Beginner

Complexity Levels

Aurora Vision Studio has three levels of feature complexity. At lower levels we hide advanced features and ones that may be confusing.

Intermediate

Finding Filters

There are many hundreds of ready-for-use filters (tools) in Aurora Vision Studio implementing common image processing algorithms, planar geometry, specialized machine vision tools as well as things like basic arithmetics or operating system functions.

Intermediate

Connecting and Configuring Filters

After a filter is added to the program it has to be configured. This consists in setting its inputs to appropriate constant values in the Properties window or connecting them with outputs of other filters.

Beginner

Creating Macrofilters

Macrofilters play an important role in developing bigger programs. They are subprograms providing a means to isolate sequences of filters and re-use them in other places of the program.

Intermediate

Creating Models for Template Matching

Template Matching tools are very often used as one of the first steps in industrial inspection applications.

Intermediate

Preparing Rectification Transform Map

If you want to perform camera calibration in Aurora Vision Studio, there two basic ways to do that.

Intermediate

Creating Text Segmentation Models

The graphical editor for text segmentation performs two operations:

Intermediate

Creating Golden Template Models

Golden template technique is the most powerful method for finding objects' defects.

Beginner

Creating User Filters

A complete guide on creating user filters

Intermediate

Debugging User Filters

Learn how to debug user filters

Advanced

Creating User Types

In Aurora Vision Studio it is possible for the user to create custom types of data. This can be especially useful when it is needed to pass multiple parameters conveniently throughout your application or when creating User Filters.

Beginner

Designing HMI

Although image analysis algorithms are the central part of any machine vision application, a human-machine interface (HMI, end user's graphical environment) is usually also very important.

Beginner

Standard HMI Controls

There are several groups of UI components in the HMI Controls catalog:

Beginner

Handling HMI Events

The HMI model in Aurora Vision Studio is based on the program loop. A macrofilter reads data from the HMI controls each time before its first filter is executed. Then, after all filters are executed, the macrofilter sends results to HMI.

Intermediate

Saving a State of HMI Applications

The function of saving HMI applications' state allows to save the configuration, which is currently chosen in respective application controls, and to bring it back at a later time.

Beginner

Protecting HMI with a Password

It is possible to lock the whole HMI or certain parts of it with a password in order to make sure that only authorized users will be able to modify a running program in the production environment.

Intermediate

Creating User Controls

The HMI system of Aurora Vision Studio makes it possible to design user interfaces by composing it from ready-made components, which are called controls.

Intermediate

List of HMI Controls

In the following article you can find all HMI controls to make it easier to find their documentation on the page.

Beginner

Data Types

In Aurora Vision Studio types also play an important role in guiding program construction – the environment assures that only inputs and outputs of compatible types can be connected.

Beginner

Structures

A structure is a type of data composed of several predefined elements which we call fields. Each field has a name and a type.

Intermediate

Arrays

An array is a collection composed of zero, one or many elements of the same type. In Aurora Vision Studio for any type X there is a corresponding XArray type, including XArrayArray. For example, there are types: Point2D, Point2DArray, Point2DArrayArray and more.

Intermediate

Array Synchronization

In many applications several objects are analyzed on a single image. Most typically, in one of the first steps the objects are extracted (e.g. as an array of blobs, edges or occurrences of a template) and then some attributes are computed for all of them.

Beginner

Optional Inputs

Some filters have optional inputs. An optional input can receive some value, but can also be left not set at all. Such an input is then said to have an automatic value.

Beginner

Connections

In general, connections in a program can be created between inputs and outputs of compatible types. This does not mean, however, that the types must be exactly equal.

Beginner

Conditional Execution

Conditional execution consists in executing a part of a program, or not, depending on whether some condition is met. There are two possible ways to achieve this in Aurora Vision Studio:

Intermediate

Types of Filters

Most filters are functional, i.e. their outputs depend solely on the input values. Some filters however can store information between consecutive iterations to compute aggregate results, communicate with external devices or generate a loop in the program.

Beginner

Dealing with Domain Errors

Domain Errors stop the program execution when a precondition of a filter is not met. In general it is not possible to predict all possible Domain Errors automatically and this is responsibility of the user to assure that they will not appear in the final version of the program.

Intermediate

Programming Finite State Machines

Industrial applications often require the algorithm to work in several different modes. Two most typical examples are...

Beginner

Recording Images

Images can be recorded to a disk with this simple program...

Intermediate

Sorting, Classifying and Choosing Objects

Sorting, classifying and choosing objects are three types of general programming tasks that are often an important part of machine vision inspections.

Beginner

Optimizing Image Analysis for Speed

General rules for image analysis

intermediate

Understanding OrNil Filter Variants

What are OrNil filter variants, Why were OrNil filter variants introduced, When should OrNil filter variants be used, etc...

Beginner

Working with XML Trees

Extensible Markup Language (XML) is a markup language used for storing data in human readable text-format files. XML standard is very popular in exchanging data between two systems.

Beginner

Using TCP/IP Communication

Aurora Vision Studio has a set of filters for communication over the TCP/IP protocol. They are located in the Program I\O category of the Toolbox.

Intermediate

Working with GigE Vision® Devices

Aurora Vision Studio has a built-in support for GigE Vision® compliant cameras with single video stream for continuous image streaming.

Beginner

Working with Gen TL devices

Aurora Vision Studio allows to communicate with devices which use Gen TL.

Intermediate

Working with National Instruments devices

Aurora Vision Studio allows for communication with i/o devices from National Instruments. This is done by using filters from the Hardware Support :: National Instruments category.

Beginner

Image Processing

There are two major goals of Image Processing techniques: To enhance an image for better human perception & To make the information it contains more salient or easier to extract

Beginner

Blob Analysis

Blob Analysis is a fundamental technique of machine vision based on analysis of consistent image regions.

Beginner

1D Edge Detection

1D Edge Detection (also called 1D Measurement) is a classic technique of machine vision where the information about image is extracted from one-dimensional profiles of image brightness.

Beginner

1D Edge Detection – Subpixel Precision

One of the key strengths of the 1D Edge Detection tools is their ability do detect edges with precision higher than the pixel grid.

Intermediate

Shape Fitting

Shape Fitting is a machine vision technique that allows for precise detection of objects whose shapes and rough positions are known in advance. It is most often used in measurement applications for establishing line segments, circles, arcs and paths defining the shape that is to be measured.

Intermediate

Template Matching

Template Matching is a high-level machine vision technique that identifies the parts on an image that match a predefined template. Advanced template matching algorithms allow to find occurrences of the template regardless of their orientation and local brightness.

Intermediate

Using Local Coordinate Systems

Local coordinate systems provide a convenient means for inspecting objects that may appear at different positions on the input image.

Beginner

Optical Character Recognition

Optical Character Recognition (OCR) is a machine vision task consisting in extracting textual information from images.

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UPDATED BY: Ian Hatton - 1 month ago

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