Automatic Defect Detection and Classification Technique from Image: A Special Case Using Ceramic Tiles

TL;DR

This paper presents an automated image-based defect detection and classification method tailored for ceramic tiles, aiming to improve quality control and production efficiency in the industry.

Contribution

It introduces a novel automated technique specifically designed for defect detection and classification in ceramic tiles, enhancing quality assurance and manufacturing speed.

Findings

Effective detection of defects in ceramic tiles

Rapid classification of tile quality

Potential for reducing defective tile inclusion

Abstract

Quality control is an important issue in the ceramic tile industry. On the other hand maintaining the rate of production with respect to time is also a major issue in ceramic tile manufacturing. Again, price of ceramic tiles also depends on purity of texture, accuracy of color, shape etc. Considering this criteria, an automated defect detection and classification technique has been proposed in this report that can have ensured the better quality of tiles in manufacturing process as well as production rate. Our proposed method plays an important role in ceramic tiles industries to detect the defects and to control the quality of ceramic tiles. This automated classification method helps us to acquire knowledge about the pattern of defect within a very short period of time and also to decide about the recovery process so that the defected tiles may not be mixed with the fresh tiles.