Computer vision is finding its ways into early-stage diagnostics in healthcare, cashierless stores in retail, and identifying galaxy formations in astronomy, among many other uses.
From healthcare to autonomous vehicles, computer vision is finding applications across every industry.
Computer vision — which is a subset of artificial intelligence — extracts information from digital images and videos using algorithms. The technology’s goal is to enable computers to contextualize scenes, similar to the human ability to identify and parse images.
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Although computers are far from understanding context, advances in deep learning (algorithms that attempt to mimic the human brain) have vastly improved computer vision applications.
As Benedict Evans pointed out at CB Insights’ A-Ha! conference last year, the error rate for machine-fueled image recognition has dropped below that of humans.
In this analysis, we highlight some emerging applications of computer vision. The examples include AI for image and facial recognition, distinguishing between real people and photographs, and video processing, among others.