Type of course:
Digital learning, Path
Language:
EN
Duration:
1 hour, 40 minutes
Workload:
6 hours
Proficiency:
Intermediate
Target:
Manager, Professionals, Students, Workers
Embark on a dynamic learning journey that introduces you to the core concepts of machine vision, object recognition, and machine vision application in quality control. In this learning path, you’ll look into the basics of machine vision, understand the intricacies of object recognition, and explore how machine vision transforms quality control processes. Engage in activity that involve model training and machine vision system building, and test your knowledge through insightful questions. By the end of this journey, you’ll possess a solid foundation in these transformative technologies and their practical applications, equipping you to make informed contributions in various fields.
Learning outcomes
- After completing this learning path, participants are able to identify the principles and techniques of image acquisition and pre-processing in machine vision for quality control.
- After completing this learning path, participants are able to define the role of machine learning algorithms in defect detection and classification for quality control in machine vision.
- After completing this learning path, participants are able to consider the factors that influence the performance of machine vision systems in quality control.
LessonBasics of Object Recognition and its Industrial Applications
Course Content
LessonReal-time object classification and counting with Machine Learning for reduced waste
Course Content
LessonMachine Vision for Quality Control - Introduction
Course Content
LessonMachine Vision for Quality Control - Activity
Course Content
LessonMachine Vision for Quality Control - Quiz
Course Content
Topics
Digital Transformation, Artificial Intelligence (AI)