Pattern Matching

Course Code

patternmatching

Duration

14 hours (usually 2 days including breaks)

Requirements

  • Familiarity with manufacturing
  • Experience or interest in programming, in particular C++

Overview

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.

Audience
    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.

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

Closing remarks

 

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £2900

Private Remote

From £2600 (100)

Public Classroom

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