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Jun 2

12:10 PM - 12:35 PM


Industrial AR has a large history, pilling up few “top” but also lots of “flop” cases, to everyone's frustration. While for a long time the industry focused on AR-assisted maintenance or of procedure-like guidance use cases, it turned out, that companies are not struggling to incorporate XR-enabling technologies, but instead struggle rolling-out pilots as solutions. There is no doubt about the solution’s benefit, but because of manual efforts and challenges in data preparation and information authoring, the ROI is far too often not there.

AR-based quality inspection has turned to be different. Data needed for the use case is close, if not similar, to already existing 3D/CAD data from engineering, eliminating the need for further preparation other than tracking of objects in order to augment this data onto its corresponding object. AR, specifically, is _the_ enabler technology to find deviation quicker and more immediately. No other principle enables such immediate way to compare a manufactured item to its CAD specification. As such, it is the perfect match of technology, effort and output.
Turning tablets into inspection tools with AR, mobile devices are leaner compared to existing 3D scanning and metrology boxes (which produce similar results but need far more time for preparation and conduction) and more flexible, as small or even very large parts can be verified for quality in real time and directly on location, wherever parts are produced or stored.

In our talk we present use cases from automotive as well as mechanical engineering and welding industries, including agricultural manufacturer Krone and Slavia Production Systems (a “hidden champion“ from Eastern Europe, who’s a major automotive supplier), who were able to quickly integrate AR into their production and have since been successfully using it in everyday operations.

We illustrate how, with AR, SMEs and corporates can use their CAD data together with mobile devices to transform their current quality assurance and production processes. With a few steps, they gain from increased inspection throughput as well as a digitalized inspection plans, while reducing costs and time for quality assurance. What's more, ensuring high quality standards, companies will automatically become cleaner, save on material transportation and money by avoiding scrap and rework. What else but a "killer case" could AR be with that kind of ROI?


CEO & Founder , Visometry