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Image processing based quality checking is one of the most popular technologies employed in manufacturing process nowadays, as it reduces both the human errors and the man power requirement. The purpose of this project is to identify the external defects of the bottle/can which are manufactured in an industry and to eliminate such products to assure the quality of the final products. Main objective of this project is to identifying the defective objects which arrive through conveyer lines using a specialized camera which is controlled by a PC. Image processing using Raspberry Pi is used for processing the images which is very user friendly. The bottle/ can moves through a conveyor. A proximity sensor will sense the object and stop the conveyor. Then the image of the object will be taken by the camera and compare the image with the already stored template image using Raspberry Pi. Object that falls within the prescribed tolerance level be regarded as good object. The conveyor will take the bottle/ can to the filling section and others will discarded. Bad bottle/can will be removed with the help of a solenoid piston .The conveyor control, sensing operation, removal of defective piece all are controlled by PLC. This kind of a system is very less in cost comparing to the other image processing quality control systems which are used in industries.

Quality Assurance of Bottling Plant Using Image Processing and PLC