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Deep Learning Put to the Test

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Deep learning applies best to problems with a wide definition of defect that can’t be simplified to counting pixels. Performing the right tests in the evaluation process will eliminate future headaches.

TOM BRENNAN, ARTEMIS VISION

Recent advancements in artificial intelligence (AI) have prompted scores of companies to invest in this type of software. This bodes well for the vision industry, as the technological leap is needed. But how will this purchase affect users at the factory who are making investments they’ll have to live with for the next decade? For them, it’s important to understand how to fairly evaluate the deep learning software options available, and how they will really work — or not. A vision system is trained to recognize a ‘bad’ image versus a ‘good’...Read full article

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