How is Deep Learning different than Machine Vision?
From OCR to Defect Detection, Deep Learning thrives when inspection isn’t clear cut
Mapping input data to known labels, which humans have provided.
Input data is unlabeled and the system tries to learn structure from that data automatically without any human guidance.
A combination of the first two approaches.
The system receives data in a specific environment and then learns how to maximize its outcomes.
Reusing a model that was trained while solving one problem and applying it to a different but related problem.
Deep learning technology might seem cutting edge, but it’s a perfect complement to machine vision inspection applications now. In this quick video overview and downloadable eBook we’ll explain the differences between the two inspection approaches and when it makes sense to use deep learning or traditional machine vision for your factory automation strategy.
YOU WILL LEARN:
- How deep learning differs from machine vision
- How deep learning systems learn via neural networks
- Which types of applications are best suited to deep learning methods
- How deep learning benefits industrial manufacturing
