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AI in machine vision applications

How to maximize the value of deep learning

Deep learning is firmly established in machine vision. It enables high recognition rates and automates applications that were previously difficult or impossible to solve. Yet many companies still fail to use its full potential.

This white paper covers training data, effective training strategies, MVTec’s deep learning technologies, the combination of AI-based and rule-based methods, and the use of GPUs and NPUs for efficient deployment.

Get the white paper

In this white paper, you will learn:

Why effective training is essential for robust deep learning results.

Best practices for integrating deep learning models into machine vision applications.

The benefits of combining deep learning with classical machine vision methods.

Ways to improve deep learning efficiency using AI accelerators.

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