Computer Vision: Image Understanding for Efficient Business and Industry

Delve into the basics of computer vision and explore its potential to transform business and industry as we know it with this online course from the Luleå University of Technology.

Duration

3 weeks

Weekly study

4 hours

100% online

How it works

Unlimited subscription

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Discover the basics of computer vision and its role in Industry 4.0

Humans are in the midst of what is referred to as the Fourth Industrial Revolution, or Industry 4.0: the advent of new technologies that will forever change the face of business, and chief among them is computer vision.

This three-week course from the Luleå University of Technology will give you a solid introduction to computer vision and help you explore its effects on industry and business. Once you complete the course, you’ll understand the potential applications of computer vision and be empowered to shape its future.

Delve into the components of CV such as machine learning and deep learning

Computer vision (CV) deals with complex processes at a high level, and can therefore be a challenging and intimidating subject to learn.

Your educators will guide you in understanding CV concepts without the need for any prior technical knowledge. You’ll learn about the functions and integrations of machine learning, deep learning, and image processing, and be able to demonstrate your understanding at a fundamental level.

Explore real-life applications in various industries through use cases

Computer vision technology is flexible, smart, and has the potential to transform almost any field of work.

You’ll explore different use cases to examine the viable applications for CV within the security, transport, healthcare, and manufacturing industries to understand the possibilities of this technology.

Understand the potential of computer vision for the future of your business

The Luleå University of Technology provides expertise in industrial engineering and management, including research on computer vision.

With their extensive knowledge, they are best positioned to help you realise the benefits of CV and the positive impacts it can have on your business.

  • Week 1

    Introduction to Computer Vision

    • Welcome to the course

      Welcome to this course on computer vision, image understanding for efficient business and industry.

    • Introduction to Computer Vision

      An introduction to Computer Vision.

    • Digital Image

      What is Digital Image and how does it work?

    • Image Processing

      What is Image Processing and how does it work?

    • Image Understanding

      In these steps, we will look into what Image Understanding is.

    • End of the week

      Let's sum up the first week!

  • Week 2

    Machine learning and deep learning

    • Introduction to Week 2

      Welcome to the second week of the course. Let's get started!

    • Machine Learning

      What is machine learning?

    • Artificial Neural Network (ANN)

      In this activity, we will introduce an Artificial Neural Network (ANN).

    • Deep Learning

      What is Deep Learning?

    • End of the week

      Let's sum up the second week!

  • Week 3

    Application of Computer Vision

    • Introduction to the final week

      In this week, we will take a look at different applications of Computer Vision. Let's get started!

    • Application of computer vision - Transportation

      Let's look at the application of computer vision in the business sector, firstly in transportation. How can computer vision add value to the transportation system?

    • Application of computer vision - Healthcare

      Let's look at the application of computer vision in healthcare.

    • Application of computer vision - Security and smart cities

      In this activity, we'll look at the application of computer vision in security and smart cities.

    • Application of computer vision - Other implementations

      Finally, we'll explore some other implementations of computer vision in the business sector.

    • End of the course

      You have reached the end of the course!

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