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:

Certified System Integrator Program

Set Yourself at the Forefront of the Global Vision Market

Vision system integrators certified by A3 are acknowledged globally throughout the industry as an elite group of accomplished, highly skilled and trusted professionals. You’ll be able to leverage your certification to enhance your competitiveness and expand your opportunities.

GET CERTIFIED

• 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