A CNN hardware-only approach to speed measurement

Abstract

Abstract – Vision sensors are of increasing interest for nondestructive, 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 Networkon-Chip and realized on a FPGA. The final hardware can measure up a moving object at a speed of 250 frames per second. I.