Development a defect detection system for a woven polypropylene bag using image processing.

Abstract

The main objective of the study was to develop a defect detection system for a woven polypropylene bag using image processing. the system is able to detect the hole defect, shrinkage defect and the missing end defect and therefore if implemented in industries, it can help to improve the quality of the bags produced. Therefore, according to the results, the objectives that were set have been achieved. For further research one should try to use other kinds of defects that come in the production woven polypropylene bags to expand on the system.