Zebra DXRT020200Y000 Aurora Design Assistant 9+ Runtime License Key - ID, Advanced OCR, GMF, EF, Metrology

Zebra Technology & Supplies
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DXRT020200Y000
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Description

Zebra Aurora Design Assistant 9+ – Runtime License Key

This is a Zebra Aurora Design Assistant 9+ runtime license key for deployment. It activates the specific Aurora Design Assistant tool set listed below on a production system, so an application built with the SDK can run in the field. The bundle for this part number covers:

Licensed tools included with DXRT020200Y000

  • ID — Identification: 1D and 2D barcode and matrix-code reading and verification.
  • Advanced OCR — deep-learning optical character recognition (formerly SureDotOCR/String Reader) for dot-print and general text.
  • GMF — Geometric Model Finder: edge-based geometric pattern location, tolerant of lighting variation, occlusion, and scale/angle changes.
  • EF — Edge Finder: gradient- and Hessian-based edge and contour extraction that holds up under fluctuating lighting.
  • Metrology — dimensional measurement and GD&T tolerancing through edge extraction and geometric-feature validation.

About Aurora Design Assistant

Zebra Aurora Design Assistant (formerly Matrox Design Assistant) is a flowchart-based integrated development environment for building machine-vision applications without writing traditional program code. It is hardware-independent, includes a graphical web-based operator-interface designer, and supports branded and third-party smart cameras, vision controllers, and PCs with CoaXPress, GigE Vision or USB3 Vision cameras.

License type

This part is supplied as a run-time license key — a software activation that authorizes the licensed tools on a designated deployment system. Development seats and target hardware are licensed separately; contact us if you need help matching this run-time license to your deployment.

Automation Distribution is an authorized Zebra distributor. Our team can help you confirm the right Aurora Design Assistant package, license form and deployment path for your machine-vision project.