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Course Outline
Introduction
- Computer Vision
- Machine Vision
- Pattern Matching vs Pattern Recognition
Alignment
- Features of the target object
- Points of reference on the object
- Determining position
- Determining orientation
Gauging
- Setting tolerance levels
- Measuring lengths, diameters, angles, and other dimensions
- Rejecting a component
Inspection
- Detecting flaws
- Adjusting the system
Summary and Conclusion
Requirements
- Familiarity with manufacturing.
- Experience or interest in programming, in particular C++.
Audience
- Engineers and developers seeking to develop machine vision applications
- Manufacturing engineers, technicians and managers
Testimonials
Clarity
WesCEF
Having some previous computer vision experience I found the second day covering feature extraction and CNNs most beneficial.
WesCEF
The second day going through feature extraction was great fun. trainer was very knowledgeable and engaging.
WesCEF
Apart from the content, I loved Abhi's flexibility to tweak the training based on our feedback
WesCEF
Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.
Anthea King - WesCEF
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