Computer Vision is the field of AI responsible for the high-level computer understanding of visual information, usually in the form of digital images and videos.
Computer Vision tasks can be generally placed in four categories: image classification, segmentation, detection and tracking, and information retrieval from the visual data. All these categories already have numerous practical applications that range from human pose recognition to self-driving car technology.
The vast majority of the development right now continues to be driven by the Convolutional Neural Networks (CNNs). They were the main factor in the field’s rapid progress. New findings on their technology create state-of-the-art performance, and this process is very likely to continue doing so for a prolonged period of time.
Why is it important?
Current Computer Vision is widely used in such fields as manufacturing, healthcare, automotive industry, agriculture, personal electronics, and entertainment. Security and access control applications are especially on the rise now, with such everyday uses as Face ID based on Computer Vision.