Deep learning: Turning inspectors into detectives

For products in food and beverage production, where there are potentially an infinite number of variations, the expert advice has always been that machine vision has its limits.


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These barriers are being swept away by deep learning. This mimics human responses to make sense of more unpredictable visual
data that can’t be classified with a set of rules. New deep learning apps are now providing a simpler way to
access machine-vision quality inspection in applications that may have been difficult, unreliable, or that have defied automation altogether.

Deep learning vision
tools can sort food products or packaging to solve spotting defects or foreign objects, localising objects in the camera’s field of
view (e.g. to be picked by a robot), or classifying natural products based on visual appearance. 


Read the full article in DPA's September issue


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