AUTOMATIc bottle filling inspection system using image processing

The enlargement of Indian food industry is an even matter of fact. Especially the beverage industry is at its peak. So looking at the prevailing conditions it is very crucial to continue an error free fast production line. For this purpose an automated liquid level monitoring system has been proposed in this paper. The work is achieved by using image processing techniques for the detection of the correct liquid level. This project aims at designing an automated system for monitoring the bottle filling process in the beverage industry. The aim is to check whether the bottle is filled with proper quantity of beverage or not. Moreover we have also developed an algorithm in which along with the any color liquid level, bottle cap detection, label detection and dirty bottle detection is done, so that a full proof system can be designed in bottle packaging industry. Since bottling is one of the most common packaging styles in the food industries, in this paper we will depend on the visual inspection of bottles. Checking the quality of the cap closure and over-filling/under-filling checks for the level of the liquid in the bottle have been observed to reach an optimized bottle product. The proposed work is achieved using image processing techniques utilizing the matlab platform without disturbing the high speed production line. We have used a cropping technique for color detection and level sensing. Label detection is done by optical character recognition. All of this activity needs to be done in such a way without disturbing the production line.