INSPHERE, manufacturers of IONA sensors, have a long history of working alongside the AMRC, having collaborated on the I-UK funded UMAC and ACCUFAS projects. The partnership formalises their continued alliance to drive intelligent automation in the UK through the development of robot improvement technology.
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The tub, designed and crafted by Dash-CAE, will be featured as part of a live demonstration utilising the Creaform HandySCAN MAX.
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Providing inspection solutions that cater to the changing needs of the automotive industry requires a two-way conversation. It’s almost impossible for manufacturers to predict exactly what new designs will arrive on their inspection table in the future.
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Thermo Scientific LInspector Edge In-line Mass Profilometer Delivers Real-time, Full-Coverage Mass Loading Analysis for Battery Electrode Coating.
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Probes and tool setting probes from Blum-Novotest play an important role in the production processes of the company based in the Allgäu region in Germany, ensuring high accuracy, process reliability and automated machining.
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3DMakerpro has announced the launch of its Moose Series, beginner-friendly 3D scanners with AI visual tracking technology.
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The chairs of ‘Production Metrology and Quality Management’ and ‘Information Management in Mechanical Engineering’ are to become ‘Intelligence in Quality Sensing’, or WZL | IQS for short.
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Kubotek Kosmos, a leader in engineering and manufacturing geometric software technology, has announced the 6.0 major release of its CAD/CAM software interoperability products: Validate, Revision, Convert, and View.
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Sound waves can reveal surface properties. Parameters such as surface or coating quality of components can be analyzed nondestructively using lasers and sensors. In research and some industrial laboratories, this laser-induced surface wave spectroscopy has already become an established measurement technology.
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The Karlsruhe Institute of Technology (KIT) has developed a process that automatically evaluates the surface conditions of objects using video images, neural networks and machine learning. Intelligent surface inspection can help to improve defect testing.
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