A Study on the Machine Vision Assisted Vibratory Feeding System

Abstract

Vibratory feeding is the most significant approach for parts orientation and feeding in production; the process of production automation has been seriously hindered due to the problems with low feeding efficiency, high jamming rate. This project combines machine vision and vibratory feeding technology in substitute for the currently used mechanical orientation mechanism, in order to automatically recognize work pieces of different size, shape and color. The special vibratory feeder and frame are designed. According to the system work requirement, in the thesis, the adjustable light source and illumination system are designed, and the CCD camera and optical lens are chosen. The pneumatic actuator is also designed with the microcomputer as the controller. The area, perimeter, dispersion and invariant moment parameters are used in parts type identification. The image centroid is used to confirm parts position. By using the Hough transform, the image edge can be extracted to get the deflection angle. By using Matlab, the image can be captured, processed, analyzed and judged, meanwhile, communicate with actuator and control it.