Computer vision is a branch of artificial intelligence (AI) concerned with helping computers to interpret and understand the contents of digital images and videos. It enables computers to recognize, analyze, process and interpret information from images or videos just like humans do.

Computer vision models generally involve a hierarchy of algorithms for identifying objects, tracking movement, and combining multiple pieces of information to form a decision. In its simplest level, an image is first pre-processed with image pre-processing techniques to detect target items. Then, convolutional neural networks (CNNs) and deep learning algorithms are used to detect correct contours and edges of the targeted item. Finally, feature extraction is used to identify or tag the targeted item.

Computer vision applications are often used in many industries such as healthcare and industry. They can be used for medical diagnostics and treatments, industrial automation, and autonomous vehicles. Computer vision can also help in computer graphics for 3D modeling, machine learning for pattern and image recognition, and augmented reality for image-based interactions.