Zebra Technologies bringing Deep Learning Machine Vision to electric battery manufacturing processes

Zebra Technologies Corporation (NASDAQ: ZBRA), a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, will demonstrate how its field-proven portfolio of machine vision hardware and software solutions address automation, quality and compliance requirements across electric vehicle and battery inspection at the Battery Show Europe taking place 18-20 June in Stuttgart, Germany.

Attendees visiting the event will learn how they can use deep learning machine vision software, 2D and 3D technology, and vision-guided robotics from Zebra and its partner ID Engineering, to unlock new levels of visual inspection for quality, safety, and compliance across the electric battery manufacturing process.

Deep learning machine vision software and cameras as well as 3D sensors can be used for cell and cell component inspection, cell stack, module and pack assembly, and cover-to-tray assembly.

“Electric battery and vehicle manufacturers are leveraging deep learning machine vision solutions that increase efficiency with industrial automation, which Zebra and partners provide to carmakers and EV battery suppliers,” said Rudolf Schambeck, Senior Manager, Machine Vision, Germany, Zebra Technologies. “These solutions excel in electric battery use cases that require more advanced inspection of surfaces and fabrics such as car seats and interiors, detection of anomalies with wide variations, classification, segmentation, and robotic guidance.”

Electric batteries sit at the heart of the electric vehicle transition, with researchers exploring new advances that build on today’s lithium composition, including solid-state batteries and sodium-ion batteries which could deliver more compact, faster charging and lighter batteries.

A range of cutting-edge technologies are needed to support these developments across the supply chain, ensuring the quality and compliance of materials, components, and assembled batteries as well as minimising downtime on the production line.

“We work with a supplier to a global automotive manufacturer of luxury, high performance cars which is using Zebra’s Aurora deep learning software as part of a solution for the inspection and assembly of electric batteries,” said Tobias Butscheid, Chief Operating Officer, ID Engineering, who will join Zebra’s booth. “In such a competitive industry with regulatory, consumer and environmental requirements and expectations, it’s essential that electric battery manufacturers work with experienced partners and reliable solutions that deliver the outcomes they need.”

Zebra’s 2023 report on AI machine vision in the automotive industry found that 56% of automotive business leaders surveyed in the UK and 43% in Germany are already using some form of AI such as deep learning in their machine vision projects, with around 20% on average looking to find out more or currently looking to procure.

Carmakers and EV battery suppliers are leveraging machine vision to inspect the uniformity of surface coating, detect defects in cells, read barcodes and serial numbers, ensure the consistent positioning and application of adhesives and thermal beads, and carry our quality assessments for assembled battery packs. Machine vision is also being used as part of robotic picking, sorting and assembly solutions where the machine vision camera and software guide the actions of the robotic arm.

Spokespeople from Zebra and ID Engineering will be available to talk with the media and provide comments and demonstrations at Zebra booth 4-A19 at the show.


  • Zebra and ID Engineering will exhibit at the Battery Show Europe, demonstrating deep learning machine vision, 3D technology and tools for robot guidance for electric battery manufacturing.
  • Carmakers and their suppliers are already using these machine vision solutions to meet quality, compliance and safety requirements and consumer expectations.
  • The automotive industry wants to work with trusted partners with the business experience and technology portfolio to deliver the outcomes needed.
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