Machine Vision for Quality Control: Introduction and Use Case

Explore how image acquisition, preprocessing, and machine learning enable automated defect detection, classification, and real-time inspection in this course. Through hands-on activities, you will gain experience training models and building simple machine vision systems, while examining the factors that influence performance and reliability in production environments. 

What you will learn: 

• Principles of image acquisition and pre-processing for machine vision in quality control. 
• The role of machine learning algorithms in defect detection and classification. 
• Key factors affecting the performance of machine vision systems in industrial applications. 
• Practical experience in setting up and testing basic machine vision solutions. 

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