Computer Vision: Image Understanding for Efficient Business and Industry

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.

This course is designed for those in industry and academia who wish to boost their digital skills and learn about the evolution and potential of computer vision practices.

This may include researchers, students, executives, entrepreneurs, and more.

• Introduction to Computer Vision
• Welcome to the course
• Introduction to Computer Vision
• Digital Image
• Image Processing
• Image Understanding
• End of the week
• Machine learning and deep learning
• Introduction to Week 2
• Machine Learning
• Artificial Neural Network (ANN)
• Deep Learning
• End of the week
• Application of Computer Vision
• Introduction to the final week
• Application of computer vision - Transportation
• Application of computer vision - Healthcare
• Application of computer vision - Security and smart cities
• Application of computer vision - Other implementations
• End of the course