14 hours (usually 2 days including breaks)
- Familiarity with manufacturing
- Experience or interest in programming, in particular C++
Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory line or the specified dimensions of a component. It is different from "Pattern Recognition" (which recognizes general patterns based on larger collections of related samples) in that it specifically dictates what we are looking for, then tells us whether the expected pattern exists or not.
Engineers and developers seeking to develop machine vision applications
Manufacturing engineers, technicians and managers
Format of the course
This course introduces the approaches, technologies and algorithms used in the field of pattern matching as it applies to Machine Vision.
Pattern Matching vs Pattern Recognition
Features of the target object
Points of reference on the object
Setting tolerance levels
Measuring lengths, diameters, angles, and other dimensions
Rejecting a component
Adjusting the system
I genuinely enjoyed the hands-on approach.
Kevin De Cuyper
Course:Computer Vision with OpenCV
Bookings, Prices and Enquiries
|Number of Delegates||Private Remote|
|Number of Delegates||Public Classroom|
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