Machine Vision Training in Canberra

Machine Vision Training in Canberra

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. Onsite live Machine Vision training can be carried out locally on customer premises in Canberra or in NobleProg corporate training centers in Canberra.

NobleProg -- Your Local Training Provider

Canberra City West, London Circuit
Learn Machine Vision in our training center in Canberra. 7 London Circuit, Canberra is in the heart of Australia's capital city. Located on the fifth floor of a premium office building, the centre is a short distance from Australia's Parliament House and several of Canberra's landmark buildings including the Reserve Bank, Canberra Law Courts and the Rydges Canberra. Canberra's main industries include IT, service industries, government administration and defence. Canberra benefits from having one of the lowest unemployment rates in Australia with the... Read more
Learn Machine Vision in our training center in Canberra. Read more



Machine Vision Course Events - Canberra

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Machine Vision Course Outlines in Canberra

Course Name
Course Name
14 hours
Marvin is an extensible, cross-platform, open-source image and video processing framework developed in Java. Developers can use Marvin to manipulate images, extract features from images for classification tasks, generate figures algorithmically, process video file datasets, and set up unit test automation.

Some of Marvin's video applications include filtering, augmented reality, object tracking and motion detection.

In this instructor-led, live course participants will learn the principles of image and video analysis and utilize the Marvin Framework and its image processing algorithms to construct their own application.

Format of the Course

- The basic principles of image analysis, video analysis and the Marvin Framework are first introduced. Students are given project-based tasks which allow them to practice the concepts learned. By the end of the class, participants will have developed their own application using the Marvin Framework and libraries.
28 hours
OpenCV (Open Source Computer Vision Library: is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms.


This course is directed at engineers and architects seeking to utilize OpenCV for computer vision projects
14 hours
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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