Automated detection of Surface defects using Salient Region detection

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P.Gowri, G.Sivapriya, R. Pavithra, S. Ragulraj, R. Nikkethan

Abstract

Quality control is important in the industry and its value is increasing with each passing year. In today’s industry, defects in the products produced can create very important issues regarding customer and subsequent procedures for production. Surface defect detection is an important component of industry quality control. Fine defects appearing on a low-contrast surface cannot be visibly defined even by a well-trained examiner. Therefore, the development of automation systems in industries is very essential. Automated control systems that use image processing can overcome most of the disadvantages of manual control and offer manufacturers the opportunity to significantly improve quality and reduce costs. The proposed system identifies the important regions in an image and finds the various defects such as cracks on the metal surfaces. The objective is to implement the process of automation in an industry by real-time capturing of images by interfacing camera and inductive proximity sensor for finding the defects in it. Here, our proposed method helps us to acquire the knowledge about the defect in a short period of time and helps to produce defect less products consistently.

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