Machine Vision Training in Brighton

Machine Vision Training in Brighton

Machine vision (MV) is the technology and methods used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance in industry. Machine Vision is a subset of Computer Vision.

Brighton

3rd Floor, Queensberry House 106 Queens Road
Brighton, ESX BN1 3XF
United Kingdom
East Sussex GB
Brighton
This centre occupies a prominent location on Queens Road which links Brighton station to the Churchill Square shopping centre and the seafront. Queensberry...Read more

Client Testimonials

Computer Vision with OpenCV

The hands-on approach

Kevin De Cuyper - Automatic Systems

Machine Vision Course Events - Brighton

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
marvin Marvin Image Processing Framework - creating image and video processing applications with Marvin Brighton 14 hours Thu, 2018-02-08 09:30 £2600 / £3000
patternmatching Pattern Matching Brighton 14 hours Wed, 2018-03-14 09:30 £2600 / £3000
marvin Marvin Image Processing Framework - creating image and video processing applications with Marvin Brighton 14 hours Wed, 2018-04-04 09:30 £2600 / £3000
patternmatching Pattern Matching Brighton 14 hours Thu, 2018-05-03 09:30 £2600 / £3000
marvin Marvin Image Processing Framework - creating image and video processing applications with Marvin Brighton 14 hours Thu, 2018-05-24 09:30 £2600 / £3000
patternmatching Pattern Matching Brighton 14 hours Wed, 2018-06-27 09:30 £2600 / £3000
marvin Marvin Image Processing Framework - creating image and video processing applications with Marvin Brighton 14 hours Mon, 2018-07-16 09:30 £2600 / £3000

Course Outlines

Code Name Duration Outline
opencv Computer Vision with OpenCV 28 hours

OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms.

Audience

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

patternmatching Pattern Matching 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.

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.

marvin Marvin Image Processing Framework - creating image and video processing applications with Marvin 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 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.

Audience
    Software developers wishing to utilize a rich, plug-in based open-source framework to create image and video processing applications

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.

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