Nuts positioning system based on machine vision

Abstract

Aiming at the problems of high error ration, high labor intensity and low efficient manual static adjustment of screws and nuts, the system for intelligent nut positioning system on the overload detection part of low-voltage circuit breaker production line was designed. Machine vision technology was taken into the detection unit of the production line. The images of hexagon nut were real-time captured by the CCD camera and processed with image processing technologies such as binarization processing, Gaussian filter, canny edge extraction, Hough transform etc., then the center point position of the Hexagon nut was found, and was used to screws and nuts assembly. Now the system has already been qualified and accepted by factory's customer, and running very well. © Springer-Verlag Berlin Heidelberg 2013.