Computer vision is a field of artificial intelligence (AI) that enables computers to derive meaningful information from images, videos and other visual inputs.
If AI enables computers to think, computer vision enables them to see, observe and understand.
Mobile technology with built-in cameras, has saturated the world with images and videos. Computing power has become more accessible and more affordable, and hardware and cameras designed expressly for vision applications have become more widely available. The effects of these advances on the computer vision field have been astounding. Accuracy rates for object identification and classification routinely exceed 99% — and today’s systems are more accurate than humans, at quickly detecting and reacting to visual inputs.
We think of vision applications as a giant puzzle, where the computer assembles images in much the way you would assemble a jigsaw puzzle. There are hundreds or thousands of little pieces that need to be fit together to create an image – a picture of the puzzle.
That’s how computer vision works – computers evaluate hundreds, thousands, even millions of parts of an image – they identify edges, transfer colors and piece together the image much the way a human does a puzzle. Rather than looking for four wheels and an engine, the computer vision application relies on millions of photos of cars and other vehicles to learn what unique features identify a car.
Today, developing visual applications is faster, easier and cheaper than ever before – thanks to VisionAppster.