Description

Learn Computer Vision and Image Processing in LabVIEW

Learn Computer Vision and Image Processing in LabVIEW

MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | Lec: 31 | 1.59 GB Genre: eLearning | Language: English

Learn Computer Vision and Image Processing From Scratch in LabVIEW and build 9 Vision-based Apps

The course is a project-based introduction to Computer Vision and Image Processing

(CV + IP) which includes practical experience on designing and building 9 CV+IP based applications using LabVIEW in real world projects.

The course includes theory, hands-on activities and exercises. At the end of the course, you’ll be able to achieve the following objectives: –

Learn basics concepts of CV + IP. – Understand How Machine Learning algorithms work? – Understand key components in OpenCV?

Computer Vision is a science of turning images from devices like cameras and

webcams into meaningful data and knowledge.

How this course will help you

This course will teach you the fundamentals of computer vision and image processing by walking through a series of

hands-on projects where you will apply these concepts to build 9 vision-based applications.

The apps include tasks such as object detection, real-time people counting,

barcode decoding, text recognition, finding differences in an image sequence and more.

With this course you’ll learn the fundamentals of computer vision and image processing.

How this course will help you

You’ll build 9 applications that run real-time on your computer or use the cloud to process images.

To bring these concepts to life we’ve used media streaming and video recording technology so that you can see exactly what is happening in each application as they are built.

From image segmentation, feature recognition, and face detection to

object tracking and smart video surveillance, this course will introduce the most popular computer vision techniques.

You’ll learn how to build computer vision apps using industry-standard LabVIEW software and deploy them on a Raspberry Pi or other SBCs.

Computer vision and image processing are two of the most exciting and promising

technologies that are changing the world. With a solid foundation in computer vision, scientists, engineers, and programmers can

build next generation intelligent systems to understand, create and interact with the world.

This short course will teach you a variety of computer vision and image processing techniques,

through the use of the powerful image processing toolkit to create real-world applications.

The course contains 9 mini-projects, each with their own video walkthroughs, lab exercises, code downloads and other supplementary material.