Automated Optical Inspection with Deep Learning

 

 

If you have ever worked on a vision inspection system for quality control or defect detection, you know how challenging that process can be.

 

To take a basic example: A manufacturing belt carrying hex nuts and an inspection camera that captures images of those parts.

If the camera captured four images, the operator could find the defective nut just by looking at them.

But how about now?

Triplex pump

Vehicle fleet

Once images run to thousands or millions, it takes an automated system to separate the defective nuts from the good ones. 

 

This ebook shows how you can use MATLAB® to develop a deep learning network to detect and classify different types of anomalies. 

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