---
title: [eBook] Automated Visual Inspection with Deep Learning
description: Automated inspection and defect detection systems use AI to identify flaws in manufactured parts and materials. Learn how you can use MATLAB to train and deploy a deep learning network
image: https://event.techsource-asia.com/hubfs/%5BeBook%5D%20Automated%20Visual%20Inspection%20with%20Deep%20Learning.png
---

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## Automated Visual 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.

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## 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

 

 

 

 

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## Overview: Visual Inspection

Learn how visual inspection works. Resources cover topics relevant to visual inspection, including image processing, computer vision, and deep learning.

[\[Learn more\]](https://www.techsource-asia.com/resources/visual-inspection/)

 

 

 

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![\[eBook\] Automated Visual Inspection with Deep Learning](https://event.techsource-asia.com/hubfs/%5BeBook%5D%20Automated%20Visual%20Inspection%20with%20Deep%20Learning.png "[eBook] Automated Visual Inspection with Deep Learning")

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**30-Day Trial** 

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

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