Computer Vision: AI & Computer Vision
Computer Vision: AI & Computer Vision
- discover the key concepts covered in this course
- describe how CV is used in electronics and why cheap consumer electronics are not possible without CV
- describe how CV is used in the aerospace industry and list the responsibilities of a CV system on an aircraft
- describe how CV is used in the automotive industry and its role in the development of self-driving cars
- describe how CV is used with robotics and how CV solutions are used in popular robotics products
- describe how CV is used in the space industry and the role of CV during space missions
- recognize how the performance of Convolutional Neural Network revolutionized CV
- classify different types of Convolutional Neural Networks by their structure and purpose
- list the steps needed to create an object detection neural network and describe how object detection is performed
- list the steps needed to create an image classification neural network and describe how classification is performed
- describe image segmentation in broad terms and specify how it may be useful for the industry
- specify how images can be generated based on large datasets and describe ways to use generated images
- work with datasets to predict how deforestation will behave in the Amazon rainforest
- use popular CV libraries to create an MRI image lung cancer detector
- summarize the key concepts covered in this course
In this course, you'll explore Computer Vision use cases in fields like consumer electronics, aerospace, automotive, robotics, and space. You'll learn about basic AI algorithms that can help you solve vision problems and explore their categories. Finally, you'll apply hands-on development practices on two interesting use cases to predict lung cancer and deforestation.
Computer Vision: Introduction
Computer Vision: Introduction
- discover the key concepts covered in this course
- describe basic concepts in Computer Vision
- compare image processing to Computer Vision
- compare image processing to traditional methods of solving image problems
- illustrate how AI can be part of a Computer Vision solution
- recognize major tools and models used in the industry
- identify and describe problems that can be solved using Computer Vision
- describe the role Computer Vision plays in the industry and associated trends
- describe how CV is used in healthcare and the multiple CV solutions used in healthcare
- describe how CV is used for banking and multiple CV solutions used by major banks
- describe how CV is used in retail, recent breakthroughs, and trends
- describe how CV is used in cybersecurity and ways you can protect yourself online using CV solutions
- describe how CV is used in agriculture and ways CV solutions can impact farmers
- describe how CV is used in manufacturing and identify areas that are the most impacted
- summarize the key concepts covered in this course
In this course, you'll explore basic Computer Vision concepts and its various applications. You'll examine traditional ways of approaching vision problems and how AI has evolved the field. Next, you'll look at the different kinds of problems AI can solve in vision. You'll explore various use cases in the fields of healthcare, banking, retail cybersecurity, agriculture, and manufacturing. Finally, you'll learn about different tools that are available in CV.
