Neuromorphic machine vision systems

Neuromorphic computer vision systems, also called event cameras, are sensors whose basic principle of operation was borrowed from the physiological principle of how human vision works. They differ from traditional cameras in that instead of taking pictures at fixed intervals, they asynchronously detects changes in the brightness of each point in the observed space. At the output, these sensors generate a stream of data packets, where each packet corresponds to a brightness change event, and the packet itself contains information about time the event occurs, pixel coordinates and the nature of the brightness change (increase or decrease). The article describes principles of event cameras operations. Provides an overview of main advantages of event cameras, as well as the most promising areas for using this technology in various fields of human activity.