Zebra Technologies for Automation and Machine Vision Solutions
The Zebra Aurora suite of industrial automation software enables users of all experience levels to solve their track-and-trace and vision inspection needs. Experienced users will appreciate how easy it is to develop, refine and customise jobs. First-time users can take advantage of interactive, step-by-step guidance to develop powerful machine vision applications for a wide range of industries. Gain next-level efficiency and precision in your industrial processes with Zebra’s machine vision software suite, offering accuracy, user-friendly interface and seamless integration.
Zebra Aurora Vision Studio
Formerly Adaptive Vision Studio
- Intuitive, Powerful and Adaptable machine vision software
- Works with all major manufacturers of vision cameras
- Try the Lite version for free
- Simple HMI builder
- Over 2000 fuction blocks/filters
Zebra Aurora Vision Deep Learning
Formerly Adaptive Vision Deep learning add-on
- Artificial intelligence for machine vision
- Easy to use and set-up
- Great for defect detection
- Small training set requirement
Zebra Aurora Imaging Library
formerly Matrox Imaging Library
- Code-level access ensures full customization and maximum flexibility
- Optimized to tackle visions tasks from simple image capture to complex 3D or deep learning applications
- Guide users through each step, from feasibility, prototyping, development, deployment, and performance monitoring
- Easily portable, the API can move between interfaces or OS to best protect your original investment
Zebra Aurora Design Assistant
formerly Matrox Design Assistant
- No-Code Development: Create machine vision applications using an intuitive flowchart-based interface without traditional coding.
- Hardware Flexibility: Supports various cameras and hardware setups, offering a hardware-independent platform for versatile deployment.
- Advanced Vision Tools: Includes powerful tools for image analysis, pattern recognition, and deep learning to handle complex vision tasks efficiently.
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