Categorization of Tiles Using Image Processing

  • Sumit Kumar, S.S.Bhosale, Sneh Verma , Survesh Jha

Abstract

Manufacturing industries are among the strongly motivated industries to use high precision and high accuracy inspection systems with low installation and at the same time maintaining cost and as well as the possibilities for reduction in time consumption and efforts that they representin the industry. This project aims to improve the ceramic tile factories classification of their products in terms of their size measuring investigation. The objective of this exploration is to use an image processing algorithm to compute the length of our considered object i.e. ceramic tiles. A visual inspection system for ceramic tiles is appointed to evaluate the suggested algorithm in a real experimental environment. The outcome shows that the maximum error in length measurement is very nominal. The Blob algorithm could be used for image detection and identifying the sides of the ceramic tiles. Automation of the error detection focus at reduction in manual involvement of the process and a significant reduction in the time allotted for assessment of the ceramic tiles and their grading.

Published
2020-07-01