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Applications

BMW Expands 3D-Printed Customised Robot Grippers Usage

Additive manufacturing processes have been used on a daily basis for a long time at BMW Group Plant Landshut. For many years, these have included moulds for the manufacturing of aluminium cylinder heads, which are printed three-dimensionally using the sand casting process. Here, sand is repeatedly applied in thin layers and stuck together using binders.

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Machine Vision Reliably Checks Bottle Cap Imprints

Machine vision offers enormous advantages for quality control applications. High accuracy and speed as well as high flexibility and availability are important for practical use. K&S Anlagenbau GmbH has implemented such an application for the beverage industry with the help of the consulting company Computer Vision Solutions. In this application the machine vision software MVTec HALCON is used.

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AI-Assisted Solution Inspects Implant Coatings Automatically

More than 400,000 hip and knee prostheses are manufactured in Aarau each year. A large proportion of these are coated in five state-of-the-art vacuum chambers at temperatures of up to 20,000 degrees Celsius, either purely with titanium or with titanium and hydroxyapatite. The latter is a bone substitute substance that improves or stimulates the ingrowth of the bone follicles into the porous prosthetic surface.

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Next-Generation Machine Vision Solution Boosts Inspection Accuracy and Reliability

Prior to implementing Elementary’s vision solution, Yamaha Motors relied on manual inspectors to verify the accuracy of warning labels placed on their ATV and ROV units, causing fatigue and high turnover among quality control personnel. Elementary helped automate the inspection process and improve traceability throughout the manufacturing process. The warning label inspection is critical for safety and is required to be in compliance with industry safety regulations.

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Precise Data Collection and Real-Time Monitoring – Robodog Scans and Monitors Manufacturing Equipment

SpOTTO plays a pivotal role in creating and refining the plant’s fully connected digital twin. The digital twin operates on three levels: On the first level, 3D representations of the entire plant are generated. The second level comprises a large data layer into which the autonomous robot dog, production facilities and IT systems at the plant feed all relevant information.

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