Expanded AI capabilities help manufacturers solve more complex visual inspection problems
Zebra Technologies Corporation (NASDAQ: ZBRA), a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, today 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 automotive 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 powerful visual inspection solutions for machine and line builders, engineers, programmers and data scientists in the automotive, 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, Vice President and General Manager, 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.”
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