Design of a Vision Based Bottle Cap Inspection System

Abstract

Inspection plays a major role in any production process. The acceptance or rejection decision of the production lot depends on the inspection results. In recent years, the developments in machine vision techniques have made inspection easier. This paper aims at bottle cap inspection using machine vision techniques. Bottle neck may have defects such as absence of the cap, absence of the tamper ring and improper assembly of cap and tamper ring. This paper deals with checking of the above mentioned defects with a single image of the finished product. This system uses backlight technique. The image of the product obtained using camera is processed using image processing software and then the results obtained are used to accept or reject the particular product. This technique could be implemented in industries for a batch produced series of bottle coming in a conveyor. By using machine vision techniques it is ensured that not even a single defect related to bottle cap is left from observation. Thus the bottle cap inspection becomes easy, accurate and done in less time.