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Analyzing 3D Data for AI-Powered Robotic Automation

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Analyzing 3D Data for AI-Powered Robotic Automation When robotic 3D scanning systems start making autonomous decisions, their application will go beyond dimensional quality control.

Mingu Kang AND Hyejin Kim, ARIS TeCHNOLOGY

There’s increasing interest in deep learning for 2D images, from facial recognition to manufacturing, spurred by the promise of the IIoT. And today, a growing faction believes employing relatively inexpensive cameras to capture 2D images and then performing deep learning is the secret to a quality assurance. While there’s some truth to that assumption, relying on data to make decisions is not so straightforward in real life. Applying analytics to large amounts of data, especially legacy data, may not be productive. Often, historical data has not been collected with the intent...Read full article

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