
The newest release, Zebra Aurora Vision Studio 5.5, introduces powerful features that enhance cross-platform compatibility, deep learning capabilities, and user interface design. These updates make the software more versatile and efficient for industrial machine vision applications.


Key Improvements:
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Expanded Cross-Platform Support
Applications developed in Aurora Vision Studio can now be deployed on Linux and embedded systems, providing greater flexibility beyond Windows-based environments. -
Seamless Integration with Aurora Imaging Library (AIL)
When Aurora Imaging Library (AIL) is installed alongside Aurora Vision Studio, additional imaging functions (such as code grading) become accessible, further enriching the toolset. -
Introduction of WebHMI for Remote Monitoring
A major highlight in this release is WebHMI, a feature that allows users to build web-based interfaces to display results and adjust program parameters. WebHMI can be set up using an intuitive visual designer or through an XAML-like syntax, making it easy to customize. It supports both Windows and Linux.
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.NET Standard 2.0 Support for Broader Development Options
The Aurora Vision Librarynow works with .NET Standard 2.0, enabling compatibility with modern .NET Core and .NET 5–8 frameworks. This enhancement allows developers to build Linux-based machine vision applications using .NET technologies. -
Enhanced Deep Learning Add-on
The deep learning module now supports both training and inference on Linux, making it easier to develop AI-powered vision applications outside of Windows. Additionally, the Aurora Vision Library and Deep Learning Add-on now run on Android, enabling AI-driven vision solutions on mobile and embedded devices.
With these enhancements, Zebra Aurora Vision Studio 5.5 continues to push the boundaries of industrial machine vision, offering users greater flexibility, efficiency, and development options across different platforms.