Aurora Deep Learning

Aurora Vision Deep Learning™ software uses a set of advanced deep learning-based tools to help improve the quality and operational efficiency of existing machine vision solutions. With use cases across multiple industry verticals, this software enables solutions for complex machine vision problems that were previously impossible to achieve with traditional algorithms and approaches.

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Robotic vision sensor camera system in phone intellegence factory

OEM Software

Deep Learning to Further Enhance Solution Quality

This add-on product offers a complete set of industrial-quality deep learning tools that can be used to solve problems that are far too complex for traditional machine vision algorithms and further enhance the outputs of Aurora Vision Studio™ and Aurora Vision Library™ software.

Further Optimize Machine Vision Solutions

Further enhance the outputs of Aurora Vision Studio and Aurora Vision Library software with a set of industrial-quality deep learning-based tools, including optical character recognition (OCR) and features and anomaly detection.

Evolve with Real-World Learning

Enables industrial image analysis applications to employ a deep learning model trained using a set of real-world examples. Just 20-30 image samples can help existing machine vision solutions detect objects, defects, or features automatically.

Comprehensive Range of Use Cases

With use cases across multiple industry verticals, this software enables solutions for complex machine vision problems that were previously impossible to achieve with traditional algorithms and approaches.

Software Resources

Fact Sheet	Overview of tools, utilities, development features, supported environments, and training and support resources.	Download Download
User Login	Log in to access Zebra Aurora Deep Learning.	Login Login
Developer Portal	Platforms, libraries and tools to help you build custom Machine Vision solutions using Zebra Aurora Vision™ software products.	Visit Visit

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