Automotive Production Innovation Through Augmented Reality
Augmented reality solutions draws data directly from the connected systems and displays complex 3D data on the part and assembly in an appealing, accurate and precise way.
Read Article →Augmented reality solutions draws data directly from the connected systems and displays complex 3D data on the part and assembly in an appealing, accurate and precise way.
Read Article →In today’s swiftly evolving manufacturing landscape, each stage of product development yields a wealth of valuable data, often challenging to access and exploit. The digital management of data flow between
Read Article →If regular thermal inspections are undertaken, thermal signatures can be identified for every electrical connection, electric motor, other electric component or moving equipment in a facility.
Read Article →A new era is dawning for BMW Group Plant Munich: from 2026, the iconic parent plant will produce the Neue Klasse sedan.
Read Article →Generative AI, data-centric AI, and synthetic data make AI more accessible and suitable for solving manufacturing operations challenges.
Read Article →The production cell manufactures a wide variety of complex blade types from high-precision forged blanks and consists of four milling machines, which produce the turbine blades with a special clamping concept, as well as two cleaning systems and the two measuring machines.
Read Article →It has been reported that around 90 per cent of data generated in a manufacturing plant typically doesn’t get used to build insights that can really help the business.
Read Article →Applied Automation Technology (AAT) has announced the latest version of its CAPPS metrology software. CAPPS 2024 combines the powerful metrology capabilities of the current version with improved robust graphics and user interface providing enhanced usability and navigation experience.
Read Article →Smart manufacturing, characterized by the integration of cutting-edge technologies such as the Internet of Things (IoT), artificial intelligence (AI), and automation, has ushered in a new era of industrial efficiency.
Read Article →Deep learning excels in automated defect detection by leveraging convolutional neural networks (CNNs) and other sophisticated architectures. These models are trained on vast datasets containing images of both defect-free and defective products, enabling them to learn intricate patterns associated with various types of defects.
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