Not every machine vision application needs artificial intelligence. While rule-based image processing offers precision, speed, and predictable results for clearly defined tasks, AI opens up new possibilities for handling complex variations and challenging inspection scenarios.

But the real potential lies in knowing when to use each approach – and how to bring them together.

In this webinar, we’ll explore the differences between rule-based and AI-powered machine vision, their strengths and limitations, and how hybrid approaches can improve inspection flexibility and reliability.

Using practical examples, we’ll show how EyeVision combines traditional image processing tools with Deep Learning capabilities in one software environment, helping you find the right solution for your application.

What you’ll learn:

• When to choose rule-based image processing or AI
• Strengths and limitations of both approaches
• How hybrid inspection workflows combine the best of both
• Practical applications using EyeVision

Discover why smarter machine vision isn’t always about choosing one technology over another.