Computer vision refers to the use of AI algorithms to understand, analyze, and reconstruct visual scenes from image or video content. Computer vision operates through image classification, object detection and tracking, semantic segmentation, image reconstruction, and other capabilities that depend on artificial intelligence algorithms. Computer vision is commonly associated with self-driving cars and security systems, but its use cases are expanding rapidly to encompass fields as diverse as agriculture, medicine, and insurance.
Computer vision has evolved from an isolated solution that often required a large, highly-trained supporting team of data scientists to deploy to a more flexible product offering that enterprises of various scales can implement as a means of optimizing their core business processes.
The emergence of computer vision as a service (CVaaS), along with the growth of edge computing and the proliferation of extensible cloud compute environments that serve computer vision models and applications to businesses has eased adoption across the enterprise. Equipped with these tailored services, businesses will be capable of automating workflows that previously relied on the visual aid of a human agent.
As AI and the processing abilities of hardware improve, the computer vision market will continue to expand. With many more industry verticals emerging, it is clear that computer vision is coming of age and that the market is maturing. It is likely that in the future, many fundamental infrastructures will rely on computer vision systems.