LabVIEW Machine Vision

Overview National Instruments (NI) products give you the flexibility to address machine vision needs in your research, test and measurement, and industrial automated vision applications. This course teaches you to understand the fundamentals of machine vision, use and select the hardware components of a machine vision system, and implement machine vision tasks and inspections using LabVIEW. Duration Instructor-led Classroom: Three (3) Days Audience • New users and developers of vision applications

with NI hardware and software products • Users and technical managers evaluating

NI hardware and software in vision application purchasing decisions

Prerequisites • LabVIEW Core 1 course or equivalent experience Products Used During the Course • LabVIEW Professional Development System • NI Vision Acquisition Software • NI Vision Development Module • Machine vision development kit with camera, lens,

lighting, and optics After attending this course, you will be able to: • Understand the fundamentals of selecting and

setting up the appropriate machine vision hardware components

• Develop a machine vision application in LabVIEW

• Acquire and display images in LabVIEW using machine vision hardware

• Use several image processing functions to process, analyze, and inspect images

Suggested Next Courses • LabVIEW Core 2 • LabVIEW Core 3

Registration Register online at ni.com/training or call (800) 433-3488 Fax: (512) 683-9300 email info@ni.com Outside North America, contact your local NI Office. Worldwide Contact Info: ni.com/global Part Number 910543-xx

-11 Regional -21 Onsite (at your facility)

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LabVIEW Machine Vision Course Outline Day 1 Introduction to Machine Vision and Image Acquisition This lesson introduces machine vision and provides an overview of the components in a machine vision system. Introduction to Lighting, Camera, and Optics In this lesson, you learn about the fundamentals and purpose of lighting, cameras, lenses, and optical accessories. You also learn to select and use each of these components. Machine Vision Solution Strategies In this lesson, you learn about various hardware options when building a machine vision system. You learn about a variety of options for lighting, camera, and optics. You also learn about the NI platforms for machine vision. You then learn how to choose and design the hardware portion of your vision system. Day 2 Acquiring and Displaying Images in LabVIEW In this lesson, you learn how to acquire and display images in LabVIEW. Getting Measurement-Ready Images In this lesson, you learn how to prepare an acquired image for measurements in LabVIEW. You learn how to analyze the image using a histogram, improve the contrast using a lookup table, and enhance its features using gray morphology and filters. Performing Particle Analysis In this lesson, you learn how to perform particle analysis on an image. You learn how to create a binary image using a threshold, prepare the binary image using morphology and particle filters, and obtain several particle measurements. Machine Vision Functions In this lesson, you learn how to perform various machine vision functions on an image. You learn how to set up a coordinate system using edge detection or pattern matching. You also learn how to make a variety of distance and analytic geometry measurements on objects in your image. Calibrating Images In this lesson, you learn how to get measurements in real-world units by calibrating the image. Day 3 Machine Vision Inspections In this lesson, you learn how to perform a variety of machine vision inspections. You learn how to make measurements for metrology, inspect for presence or absence, inspect for defects, identify parts using bar codes and optical character recognition (OCR), use optical character verification (OCV), process color images, and more.

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LabVIEW Machine Vision Course Outline Considerations for Creating a Successful Vision Solution In this lesson, you learn about several considerations for requirements gathering and analysis when creating a vision solution. This lesson also walks through a process for designing, developing, debugging, and deploying a machine vision system solution.

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