How can convolutional neural networks (CNNs) make a difference to machine vision inspection?
![How can convolutional neural networks (CNNs) make a difference to machine vision inspection? Tim Tanner is Technical Director at Scorpion Vision, his talk ‘Retrospectively applying convolutional neural networks to improve robustness on legacy vision systems’ was at UKIVA’s Machine Vision Conference & Exhibition](/sites/default/files/styles/content_banner/public/2024-06/Tim%20Tanner_MVC_24_lead%20image.jpg?h=87f0a429&itok=xeocmcdc)
Tim Tanner is Technical Director at Scorpion Vision, his talk ‘Retrospectively applying convolutional neural networks to improve robustness on legacy vision systems’ was at UKIVA’s Machine Vision Conference & Exhibition. Image: Scorpion Vision
Tim Tanner from Scorpion Vision explains how applying pre-trained convolutional neural network (CNN) models to machine vision can create more robust inspection systems better able to deal with natural challenges like variation.
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