Latest Dimensional Metrology, Inspection and Quality News
Integrated with Digi Remote Manager, the solution enables rapid processing, analysis and integration of industrial asset data, ultimately helping businesses minimize costs and boost productivity.
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This industry-first automated strategic integration allows users to harness the power of Power BI’s advanced analytics and visualization capabilities seamlessly within the eNET Machine Monitoring platform.
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17,000 BMW users will be working globally on a virtual twin of a vehicle that can be configured for the variants of each model with consistent data in real time.
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The smart patrol technologies utilize Cupola360 panoramic on-chip stitching technology to conduct immersive remote patrol with different 360-degree cameras to ensure extensive live coverage without blind spots for thorough monitoring.
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European companies are revamping their manufacturing processes by adopting automation and AI capabilities that make factories smarter and more sustainable.
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A Smarter Factory approach can also be applied to existing factories – whether there is already technology, automation, and data collection in place or not.
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Engineers and operators wearing VR headsets can immerse themselves in the virtual factory, simulating production-line adjustments and performing tasks.
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Flexxbotics, delivering workcell digitalization for robot-driven manufacturing, has announced that SpiTrex Orthopedics has selected the Flexxbotics solution for robot-driven manufacturing with autonomous process control.
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Supported by high-precision 3D camera, AI and edge computing, CATL has developed quality inspection model with wrong-interception and fault-miss in super low level, which has achieved 100% defects detection in the seal pin welding process and eliminated Helium leakage detection, improving the defect rate from DPPM to DPPB level.
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Generative AI is a branch of artificial intelligence focused on training machines to generate content autonomously. Unlike traditional AI models that rely on explicit programming to perform tasks, generative models are trained on large datasets and learn to produce new, original outputs.
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