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Zebra Technologies

Do It All with One Interoperable Portfolio.

From basic track-and-trace to complex inspection, recognition and guidance tasks.

Tap into Zebra’s robust lineup of fixed industrial scanning and machine vision products that deliver greater flexibility, choice, simplicity and value. Streamline how you qualify, procure and deploy automation products, sottware and components with a single source for all your needs.

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  • Aurora Imaging Library X is a comprehensive collection of software tools for developing machine vision, image analysis, and medical imaging applications. This library includes tools for every step in the process, from application feasibility to prototyping, through to development and ultimately deployment.

    • Solve applications rather than develop underlying tools by leveraging a toolkit with a more than 25-year history of reliable performance
    • Tackle applications with utmost confidence using field-proven tools for analyzing, classifying, locating, measuring, reading, and verifying
    • Base analysis on monochrome and color 2D images as well as 3D profiles, depth maps, and point clouds
    • Harness the full power of today’s hardware through optimizations exploiting SIMD, multi-core CPU, and multi-CPU technologies
    • Support platforms ranging from smart cameras to high-performance computing (HPC) clusters via a single consistent and intuitive application programming interface (API)
  • Matrox Design Assistant® X is an integrated development environment (IDE) for Microsoft® Windows® where vision applications are created by constructing an intuitive flowchart instead of writing traditional program code. In addition to building a flowchart, the IDE enables users to design a graphical web-based operator interface for the application.

    • Solve machine vision applications efficiently by constructing flowcharts instead of writing program code
    • Choose the best platform for the job within a hardware-independent environment that supports Matrox Imaging smart cameras and vision controllers and third-party PCs with CoaXPress, GigE Vision, or USB3 Vision cameras
    • Tackle machine vision applications with utmost confidence using field-proven tools for analyzing, classifying, locating, measuring, reading, and verifying
    • Leverage deep learning for visual inspection through image classification and segmentation tools
    • Use a single program for creating both the application logic and operator interface
  • 4Sight EV7 is an industrial computer built for multi-camera machine vision applications on the factory floor, and features a twelfth-generation twelve-core Intel® Core™ processor with acceleration for deep learning inference or prediction.

    • Reduce service stoppages with a fanless design
    • Inspect multiple sites through the support for four GigE Vision and four USB3 Vision cameras
    • Simplify cabling for GigE Vision installations using Powerover-Ethernet (PoE)-enabled ports
    • Tackle deep learning and traditional machine vision applications with a mobile-class embedded twelfth-generation Intel Core processor
    • Connect separately to the factory floor and enterprise networks via two more Gigabit Ethernet ports
  • Iris GTX is the next evolution of smart cameras, offering higher resolution sensors and substantially more processing power than its immediate predecessor, Iris GTX provides exceptional performance for a compact all-in-one vision system.

    • Boost performance by up to 3x over its precursor thanks to an Intel x6000 series embedded processor
    • Capture high-resolution images at high speed through a choice of CMOS sensors from two to 16 Megapixels
    • Deploy in dirty, humid, or harsh industrial environments by way of a compact IP67-rated design
    • Communicate actions and results to other automation and enterprise equipment via real-time digital I/Os, and Ethernet (TCP/IP, CC-Link IE Field Basic, EtherNet/IP™2, Modbus®, PROFINET®, and native robot interfaces)
    • Handle Human-Machine Interface (HMI) function by way of VGA and USB connectivity

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