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Running AI at the Edge

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Decentralizing image collection and processing offers users numerous benefits, and with a bevy of new, ready-to-use products, the promise of Industry 4.0 may soon be fulfilled.

KEVIN MCCABE, IDS IMAGING DEVELOPMENT SYSTEMS INC.

The raw computing power within most embedded systems is an order of magnitude greater than only a few short years ago. More robust computing power, coupled with recent optimizations in how AI networks are processed, has created new opportunities for the use of AI on edge devices, specifically by using convolutional neural networks (CNNs) to classify images into categories, detect objects in images, or find unexpected anomalies in images, such as damage on a produced part. Yet moving AI processing to the edge brings with it new challenges, including making AI systems user-friendly within a...Read full article

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