Machine Vision Training in Swindon
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.
NobleProg onsite live Machine Vision training courses demonstrate through interactive discussion and hands-on practice the fundamentals and applications of Machine Vision.
Machine Vision training is available in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local Machine Vision training can be carried out live on customer premises or in NobleProg local training centers.
Machine Vision Course Events - Swindon
|Code||Name||Venue||Duration||Course Date||PHP||Course Price [Remote / Classroom]|
|patternmatching||Pattern Matching||Swindon||14 hours||Wed, 2018-05-30 09:30||£2600 / £2950|
|marvin||Marvin Image Processing Framework - Creating Image and Video Processing Applications with Marvin||Swindon||14 hours||Thu, 2018-06-14 09:30||£2600 / £2950|
|patternmatching||Pattern Matching||Swindon||14 hours||Thu, 2018-07-19 09:30||£2600 / £2950|
|marvin||Marvin Image Processing Framework - Creating Image and Video Processing Applications with Marvin||Swindon||14 hours||Wed, 2018-08-15 09:30||£2600 / £2950|
|patternmatching||Pattern Matching||Swindon||14 hours||Tue, 2018-09-25 09:30||£2600 / £2950|
|marvin||Marvin Image Processing Framework - Creating Image and Video Processing Applications with Marvin||Swindon||14 hours||Tue, 2018-10-09 09:30||£2600 / £2950|
|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.
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.
Format of the course
|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.
Format of the course