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