Zebra Technologies Enhances Aurora Machine Vision Software with Deep Learning
Zebra Technologies, a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, announced a series of advanced AI features enhancing its Aurora machine vision software to provide deep learning capabilities for complex visual inspection use cases.
The suite is specifically designed for machine and line builders and engineers, programmers and data scientists in the automotive, electronics and semiconductor, food and beverage and packaging industries.
Aurora Design Assistant™
Zebra’s Aurora Design Assistant integrated development environment lets users create applications by constructing and configuring flowcharts instead of writing traditional program code. Users can design a web-based human-machine interface (HMI) for the applications and comes with deep learning object detection and the latest version of the Aurora Imaging Copilot companion application.
Aurora Vision Studio™
Aurora Vision Studio lets users create, integrate, and monitor powerful machine vision applications. Its advanced and hardware-agnostic software provides an intuitive graphical environment for the creation of vision applications without the need to write a single line of code and has a comprehensive set of over 3,000 proven and ready-to-use filters for designing customised solutions.
Aurora Imaging Library™
Zebra’s Aurora Imaging Library software development kit is for experienced programmers coding vision applications in C++, C# and Python. It includes a broad collection of tools for processing and analysing 2D images and 3D data using traditional rules-based methods as well as those based on deep learning. It includes anomaly detection tools using deep learning for defect detection and assembly verification tasks where the aim is to find abnormalities.
