An effective quality inspection system using image processing techniques

Abstract

An Inspection is a study of methods and techniques that can be suitably employed in practical applications. In this paper, a new activity is proposed and analysis framework to facilitate the inspection of a cylindrical object using coordinate conversion technique along with pattern matching which is again verified by machine vision technique in which maximum efficiency can be achieved. By using LABVIEW software and vision builder software the quality of an object in terms of linearity can be investigated by using different image processing techniques such as image compression, image restoration etc. along with the various image processing functions like special filters and classifiers to compute the optimum results. Using smart camera in the inspection system the static as well as the dynamic object is captured in fraction of seconds without any blurs; as a result the optimum image quality without any distortion is obtained for better analysis. The proposed system is very precise, accurate and flexible with reasonable development cost compared to other model. With the aid of an Industrial robotic system with simulation software the object is replaced immediately when the same is rejected by the machine vision model. Apart from this, the proposed model can be implemented for any type of manufacturing unit.