Definition – Visual AI

Visual Artificial Intelligence, is a branch of artificial intelligence that
focuses on the analysis and interpretation of visual data, such as
images and videos. It involves the use of machine learning
algorithms and deep learning neural networks to identify patterns,
classify objects, and extract meaning from visual information.
Visual AI trains machines to make sense of images and visual data
the same way people do. With the help of Visual AI, machines
don’t just see – they are also able to understand and perceive the
meaning behind images in accordance with how the algorithm is
trained. For example, they may be able to categorize objects within
an image and understand if each object is a table, a chair, or a
lamp, just as a person would, by comparing them to images they
have previously “seen”.
Visual AI is the technology behind other features like QR code
scanning, facial recognition, and visual search. It’s being used in a
wide range of applications including healthcare, security, sports
and entertainment, manufacturing, automotive, retail and more.