Machine Vision and Deep Learning Edge IoT Device
Iris GTX smart cameras provide fast high-resolution image sensing, efficient dual-core embedded processing, and comprehensive I/O capabilities. Bundled with Aurora Design Assistant™ vision software, these edge IoT devices adeptly handle traditional machine vision workloads as well as deep learning inference. Dust-proof, immersion-resistant, and extremely rugged, Iris GTX are at home in tight spots and dirty industrial environments.
Iris GTX model edge IoT devices do on-device image acquisition and analytics, sending results to automation devices. Real-time digital I/Os, GigE and USB ports, and a VGA output allow full integration with automation cells or machines.
Pair Iris GTX smart cameras with Aurora Design Assistant software to quickly configure and deploy vision applications. All operations are set up within the software, which can tackle machine vision workloads plus deep learning inference.
Choose from 2 to 16 MP CMOS sensors to capture high-resolution images at high speed. Setup and upkeep is made easy with integrated lens focusing and illumination intensity control.
Maximise flexibility and performance in machine vision projects with tailored tools to support tasks from simple image capture to advanced 3D processing and deep learning.
Accelerate projects through companion applications—CoPilot and Capture Works—that streamline configuration, feasibility, and monitoring for faster deployment and enhanced outcomes.
The portable C/C++/C#/CPython API provides users code-level access to device interfaces, traditional rules-based tools, deep learning models, and more to tailor solutions to exact specifications.
Rapidly build machine vision applications using intuitive flowchart steps, eliminating the need for traditional coding. The software allows for easy creation of custom web-based operator interfaces.
Leverage a hardware-independent environment that supports various Zebra and third-party hardware platforms for versatile machine vision setups.
Easily connect and communicate with automation and enterprise systems using discrete I/Os and a variety of supported communication protocols for efficient machine vision integration.
Aurora VGR Assistant is an add-on software tool for Aurora Design Assistant designed to simplify the configuration and deployment of 2D vision guided robotics (VGR) tasks with leading collaborative robot (cobot) models. Target common VGR applications such as machine tending, packaging and guiding assembly tools all while leveraging Zebra’s proven and trusted machine vision technology.
Benefit from a simple browser-based user interface with guided workflows optimized for setup and testing of cobots.
Aurora VGR Assistant offers a calibration grid tailored for robot guidance and suitable for beginner or advanced users.
Configure and deploy common 2D VGR applications while leveraging Zebra’s proven and trusted machine vision technology.
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