Velocity Measurement by a Vision Sensor

Abstract

Vision sensors are of increasing interest for non-intrusive, remote measurements in industrial as well as consumer products. Their operation is based on intelligent techniques for image understanding, followed by robust quantification of the detected phenomenon. A well-known application area is movement detection and isolation. This paper discusses how movement can be detected and quantified by means of a single cellular neural network, implemented as a network-on-chip and realized on a field-programmable gate-array. The final prototype can isolate a moving object and measure its velocity at a speed of 250 frames per second