Automatic inspection system using machine vision

Abstract

Man from the beginning of time, tried to automate things for comfort, accuracy, precision and speed. Technology advanced from manual to mechanical and then from mechanical to automatic. Vision based applications are the products of the future. Machine vision systems integrate electronic components with software systems to imitate a variety of human functions. This paper describes current research on a vision based inspection system. A computer using a camera as an eye has replaced the manual inspection system. The camera is mounted on a conveyor belt. The main objective is to inspect for defects, instead of using complicated filters like edge enhancement, and correlation etc. a very simple technique has been implemented. Since the objects are moving over the conveyor belt so time is a factor that should be counted for. Using filters or correlation procedures give better results but consume a lot of time. The technique discussed in this paper inspects on the basic pixel level. It checks on the basis of size, shape, color and dimensions. We have implemented it on five applications and the results achieved were good enough to prove that the algorithm works as desired