EyeVision 26.2.1: New Look, Clearer Structure, Smoother Workflows

Featuring:

Karlsruhe, Germany — EVT announced the release of EyeVision 26.2.1, featuring a new icon set and updated naming designed to make the software more intuitive and consistent across modules. The release also introduces a refined version scheme and a range of stability and usability improvements—helping teams build, maintain, and scale machine vision applications more efficiently.

EyeVision 26.2.1 is built around one goal: make daily work faster and clearer—from navigating the interface to training Deep Learning models and working with 3D overlays.

What’s new in EyeVision 26.2.1

  • New icons + updated naming
    • A refreshed icon set for a more modern UI experience
    • Updated naming across parts of the software to improve clarity and consistency
    • Example: users will notice a cleaner visual structure in navigation and dialogs, with clearer labeling that reduces ambiguity during setup and troubleshooting
  • New version scheme: YEAR.MONTH.REVISION
    • EyeVision now follows a version format that makes releases easier to track internally and externally
    • Example: 26.2.1 clearly maps to 2026 / February / revision 1

Improvements that users will actually feel

  • Deep Learning: better resume training results
    • Object Detection & Image Segmentation training can now save the optimizer state
    • Example: if you pause training and resume later, the model can continue more effectively—often improving the quality of resumed training (with a trade-off of increased model size)
  • Process GUI: more flexible, more reliable
    • GUI elements can now show icon + caption simultaneously
    • Example: buttons can display both a symbol and text—improving usability on shopfloor HMIs
  • 3D overlays: consistent results across systems
    • Text overlay font sizes are now specified in pixels for consistent rendering
    • Example: identical overlays look the same on different PCs and displays—important for standardized reporting and visual QA
  • Connectivity & platform support
    • RTSP streaming support expanded for unix-x86_64 and aarch64 platforms
    • Example: easier deployment on industrial PCs and ARM-based edge devices
  • Stability and quality-of-life fixes
    • Improved robustness for image transfer with large overlays and shared memory behavior
    • Result display handling improved (default color options, cleaner frames/background behavior)
    • Reactive UI behavior improved in camera viewer and data tree interactions

EVT also continues to invest in scripting, matching, and performance improvements across recent versions:

  • Python Script Interpreter enhancements (Data Tree API access on Unix, performance and stability improvements, geo2d helper classes)
  • Smart Match upgrades enabling more robust matching under affine transformations (stretched/skewed patterns)
  • 3D tool performance improvements and new parameters that support filtering and controlled tracking direction

With EyeVision 26.2.1 we focused on making the software clearer and easier to use day-to-day - starting with new icons and naming, and continuing with practical improvements across Deep Learning, UI design, and 3D visualization.

Andreas Böttinger, Head of development at EVT

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