FEATURE Machine building
TURN YOUR VISION INTO REALITY I
recently read about a supplier to global automotive OEMs that specialises in surface treatment technologies for the particularly those which are used for battery caps in electric vehicles that protect the high- The need for very high accuracy and quality led the supplier to collaborate with a machine vision systems integrator to develop a solution that has improved and increased the It is comprised of a vision-guided robotics machine vision software with deep learning machine vision optical character recognition (OCR), feature and anomaly detection, The battery caps are handled by the robotic arm, which manoeuvres caps through various stages of inspection, guided by a highly sophisticated camera system to check for The camera system detects even the smallest surface imperfections that could hinder
The systems integrators appreciated the
software’s development speed and execution time when analysing many and sometimes ability for continual improvement across the manufacturing process, thanks to extensive training using a large data set to recognise and Previously selected image data sets were annotated and fed to the system, which are retrained to recognise new inspection criteria
12 June 2025 | Automation
developed and improved using deep
The example above was a good reminder that machine builders, systems integrators, and end-user engineers want to cut down on the time needed to create, implement, learn resources as newer solutions are increasingly software to intelligently automate operations However, 67% of manufacturing leaders say they don’t know how to start the process of digitally transforming the plant management issues are real-time visibility (28%), keeping up with new standards and regulations (28%), integrating data (26%), and Key barriers to digital transformation include being able to keep up with the latest technologies, the availability of resources, and scalability of projects from Operational technology leaders are looking to their machine builders and systems integrators for advice, proofs of concept, pilots and support needed to scale and take
The example above also underpins the importance of being able to capture defect and anomaly data (using machine vision cameras, smart sensors or 3D scanning),
TURN YOUR VISION INTO REALITY
Ivar Keulers, Field Application Engineering Manager, Machine Vision, EMEA, Zebra Technologies, says machine builders and systems integrators are increasingly thinking and acting like AI specialists
integrators increasingly think and act more more focus on the potential of the cloud to overcome issues around data silos, sharing, and annotation for deep learning model even higher levels of visual inspection would allow users to securely upload, label, and annotate data from multiple manufacturing locations across a site, country, training and testing data, annotation would be consistent, greater collaboration across teams would be made possible, and solutions platforms would allow for model edge deployment on PCs and devices to support production line, on a PC or device wherever a
Whatever your manufacturing sector,
there are solutions that deliver intelligent automation and partners to help make your
Zebra
www.zebra.com
automationmagazine.co.uk
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