Machine Learning Image Processing - メーカー・企業と業務用製品 | イプロスものづくり

Knowledge of visual inspection: Differences between AI, machine learning, and image processing.

I will explain the differences between AI, machine learning, deep learning, and procedural (rule-based) image processing!

This time, I would like to organize the types of AI. A new introduction page for DeepSky has also been created, so please take a look. Now, the term "AI" that is currently in the spotlight refers to "deep learning," which is the type of AI that can distinguish between pedestrians and traffic signs, and even defeat human professionals in chess and Go. In the world of image processing, there are also machine learning-based image processing and what is called procedural image processing. So, what are the differences between them? I think it will be easier to understand the meanings of each by looking at the diagram below. AI (Artificial Intelligence), as the name suggests, means artificial intelligence and has been the most widely used concept since around 1950, meaning "something that replaces human intelligence." In the world of image processing, "procedural" (rule-based) image processing, which processes images taken by a camera according to a set procedure to determine OK/NG, also falls under this category of AI. Our EasyInspector uses this type of AI across a wide range, including color judgment and dimensional angle inspection.