Automated Optical Inspection with Deep Learning

Automated inspection and defect detection systems use AI to inspect manufacturing parts for failures and defects. This approach enables industries to automatically detect flaws on manufactured surfaces such as metallic rails, semiconductor wafers, and contact lenses.

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

Complete the form to get the free e-Book
Explore our solutions on Practical Deep Learning

You will learn about the three main stages of the defect detection workflow:

  1. Preparing data, including denoising, registration, and labeling
  2. Building and training a deep learning network
  3. Deploying the network to multiple hardware platforms such as CPUs and GPUs

Learn More

Free Demo

30-Day Trial 

Develop Deep Learning project with MATLAB, Simulink, and a full set of products for Deep Learning.

Download Trial