Browsing by Author "Rangana, G.D.S."

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    Automated Ceramic Tile Defect Recognition System
    (Uva Wellassa University of Sri Lanka, 2013) Rangana, G.D.S.
    In recent years, the real estate industry gets rapid development, and at the same time, the world ceramic tile production and consumption also get rapid development. Compared with the natural stone, polished porcelain floor tiles have many advantages of high strength, light weight, aging-resistance, corrosion resistance, and color consistency. As well as other industries quality assurance is one of the major tasks in ceramic tile industry. All ceramic tile Industries try to give competitive tiles without defects. In ceramic tiles there are different types of faults such as holes, dirty spots, color bleeding, pattern mismatch etc. Identification of these faults is very important for the ceramic tile industries. Automated Visual Inspection Systems are becoming increasingly popular due to low cost maintenance and high accuracy. Ceramic tile factories, for example, are very much interested in these sorts of systems. This system is used to surface defect recognition in automated way. Product line is used to carrying tiles to destination. Image is captured of each tile while tiles are flowing on the product line. After, captured image is supplied to the C# program. C# program analysis the image and compare with the original tile image. After, output signal is sent to circuit to stop process for defect tiles. Microcontroller is responsible for stop the motor of product line for defect tiles. Also system consists of data handling part for keep records of tiles. This proposed model will allow ceramic tile companies to perform quality control inspection without costly measuring tools or error-prone inspection by humans. Moreover, factories have to install and apply Flatness Control Machine to measure the flatness curvature of ceramic tiles. This machine keeps the ceramic tiles in fixed position to investigate the upper surface only.
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    Automated Ceramic Tile Defects Inspection System Based on Texture Analysis
    (Uva Wellassa University of Sri Lanka, 2013) Rangana, G.D.S.; Wimaladharma, T. C. I.
    The ceramic tile manufacturing process has now been completely automated. When it comes to the final stage of the production, there are different types of surface defects such as holes, dirty spots, color bleeding, etc. Some of the defects are difficult to distinguish with the traditional techniques such as visual inspection. (Boukouvalas et al., 1994) The proposed system is to develop an integrated system for the detection of defects on ceramic tiles based on image processing and embedded system. Methodology Instead of human vision, computer vision system is used to classify the tile. First of all a picture of the tile is taken and image processing steps are applied to image. This stage includes pre- processing, image enhancement and feature comparison techniques. After getting the data consisting of the frequencies of masks, RULES-3 algorithm (Aksoy, 1993) is employed to determine the level of defect of the tile based on the features extracted and then pattern recognition is performed. Based on the output produced by the image processing system, the microcontroller and the camera are controlled. In this process camera takes a picture of the tile and send it to the image processing program. After analyzing the image, relevant signal is generated by the system and passed to the microcontroller to control the production line. Due to the availability of pre-defined libraries for the implementation, Visual Studio framework has been used for implementation and 16F877A microcontroller is used as the controlling component. Result and Discussion The above automatic inspection procedures have been implemented and tested on a number of tiles using synthetic and real defects. Accuracy of color object recognition part depends on light condition of the environment and accuracy of the results of image processing program depends on the quality of the image. Further, the micro-controlling process (hardware component: figure 1) depends on the results produced by the computer system (application software: figure 2). The results suggest that the performance is adequate to provide a basis for a viable commercial visual inspection system.