Computer vision identifies and often locates objects in digital images and videos. Since living organisms process images with their visual cortex, many researchers have taken the architecture of the mammalian visual cortex as a model for neural networks designed to perform image recognition. The biological research goes back to the 1950s.
The progress in computer vision over the last 20 years has been absolutely remarkable. While not yet perfect, some computer vision systems achieve 99% accuracy, and others run decently on mobile devices.
The breakthrough in the neural network field for vision was Yann LeCun’s 1998 LeNet-5, a seven-level