Machine Vision Training Courses

Machine Vision Training Courses

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.

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Machine Vision Course Outlines

CodeNameDurationOverview
opencvComputer Vision with OpenCV28 hoursOpenCV (Open Source Computer Vision Library : http://opencvorg)는 수백 개의 컴퓨터 비전 알고리즘이 포함 된 오픈 소스 BSDlicensed 라이브러리입니다 청중 이 과정은 컴퓨터 비전 프로젝트에 OpenCV를 활용하려는 엔지니어 및 건축가를 대상으로합니다 .
patternmatchingPattern Matching14 hours패턴 일치는 이미지 내에서 지정된 패턴을 찾는 데 사용되는 기술입니다 캡처 된 이미지 내에서 지정된 특성의 존재를 결정하는 데 사용할 수 있습니다 (예 : 공장 라인의 결함있는 제품의 예상 레이블 또는 구성 요소의 지정된 치수) 그것은 우리가 찾고있는 것을 구체적으로 지시한다는 점에서 "패턴 인식"(관련 샘플의 더 큰 컬렉션을 기반으로 일반적인 패턴을 인식 함)과 다르며 예상 패턴이 존재하는지 여부를 알려줍니다 청중 머신 비전 애플리케이션 개발을 모색하는 엔지니어 및 개발자 제조 엔지니어, 기술자 및 관리자 코스 형식 이 과정은 머신 비전에 적용되는 패턴 매칭 분야에서 사용되는 접근법, 기술 및 알고리즘을 소개합니다 .
marvinMarvin Image Processing Framework - Creating Image and Video Processing Applications with Marvin14 hoursMarvin 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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