Machine Vision for Quality Control

Type of course:

Digital learning, Lesson

Language:

Duration:

20 minutes

Workload:

2 hours

Proficiency:

Intermediate

Target:

Manager, Professionals, Students, Workers

The learning nugget “Machine Vision for Quality Control – Introduction” introduces you to the application of machine vision within quality control. You will find out what are the main features, benefits, and challenges of machine vision systems, and get to know the steps involved in their development. The content of this nugget is also accompanied by insights into the use case developed within the FMENA teaching and learning factory, which will enable you to practice working with the machine vision system through the activity nugget and perhaps through a hands-on workshop.

Learning outcomes

After completion of this learning nugget, the learners are able to define key aspects, benefits, and challenges of machine vision systems for quality control tasks.
After completion of this learning nugget, the learners are able to list and explain stages and steps involved in machine vision system development.