Zebra Technologies Adds New AI Deep Learning Tools

Zebra Technologies announced a series of advanced AI features enhancing its Aurora machine vision software to provide deep learning capabilities for complex visual inspection use cases. 

Sixty-one percent of manufacturing leaders globally expect AI to drive growth by 2029, according to Zebra’s 2024 Manufacturing Vision Study. Another Zebra report on AI in the Automotive industry found that AI, such as deep learning, is being used across the auto-motive supply chain, but users want their AI doing more – these new features respond to the needs of industry.

Zebra’s Aurora software suite with deep learning tools provides visual inspection solutions for machine and line builders and engineers, programmers and data scientists in the au-tomotive, electronics and semiconductor, food and beverage and packaging industries.

The suite features no-code deep learning optical character recognition (OCR), drag and drop environments, and extensive libraries that allow users to create solutions to solve complex use cases that traditional rules-based systems struggle to address.

“Manufacturers across many industries face longstanding quality issues and new challenges with advances in materials and sectors such as automotive and electronics,” said Donato Montanari, VP and GM, Machine Vision, Zebra Technologies. “They are looking for new solutions that complement and expand their current toolbox with AI capabilities needed for more effective visual inspection, particularly in complex use cases.”

Users of Zebra’s Aurora Design Assistant integrated development environment can create applications by constructing and configuring flowcharts instead of writing traditional pro-gram code. The software also enables users to design a web-based human-machine interface (HMI) for the applications.

The software now comes with deep learning object detection and the latest version of the Aurora Imaging Copilot companion application with a dedicated workspace for training a deep learning model on object detection.

Machine and computer vision engineers using Aurora Vision Studio can quickly create, integrate, and monitor powerful machine vision applications. Its advanced and hardware-agnostic software provides an intuitive graphical environment for the creation of sophisticated vision applications without the need to write a single line of code.