Introduction to Machine Vision (MV) Technology in Packaging In the…
Adding Deep Learning Technology to Machine Vision Solutions
Deep learning techniques are all set to transform businesses, in ways never seen before. The use of sophisticated, multi-level deep neural networks is giving inferences, insights, and decision-making processes, as advanced as human cognition to the businesses. In the case of images, deep learning requires computing power and involves feeding a large amount of data through multi-layered neural network architecture to create a model that can classify the objects contained within the image, having done through a superior learning ability to make better use of datasets for feature extraction. In such applications, deep learning helps machine – vision systems to cope with the range of acceptable part appearances.
Manually inspecting tangible defects is not always reliable. It is also labor-intensive. To overcome
these limitations, automated inspection uses image processing techniques that are potent enough
to significantly improve quality and increase production rates in the industry by delivering a
high performance customized deep learning model for identifying packaging defects in real-time.
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