Online or onsite, instructor-led live Machine Vision (MV) training courses demonstrate through interactive discussion and hands-on practice the fundamentals and applications of Machine Vision.
Machine Vision training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Calgary onsite live Machine Vision trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Calgary - Macleod Place II
5940 Macleod Trail SW, Calgary, Canada, T2H2H4
Strategically located just minutes from downtown, the centre offers easy accessibility as it's next to two major roadways and the Chinook Light Rapid Transit station is only two blocks away.
This instructor-led, live training in Calgary (online or onsite) is aimed at intermediate-level professionals who wish to use Vision Builder AI to design, implement, and optimize automated inspection systems for SMT (Surface-Mount Technology) processes.
By the end of this training, participants will be able to:
Set up and configure automated inspections using Vision Builder AI.
Acquire and preprocess high-quality images for analysis.
Implement logic-based decisions for defect detection and process validation.
Generate inspection reports and optimize system performance.
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.
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.
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