DETECTION OF BOUNDARY DEFECTS USING MACHINE VISION AND IMAGE PROCESSING

Abstract: Machine Vision Systems find their major applications in the industrial sector. But their use in the field of detection of boundary defects and analysis have been realized which is the reason why extensive research is being carried out in this direction. The current work is an attempt to utilize image processing technique in the direction of detection of defects through Machine Vision systems. For this, various components necessary for a simple Machine Vision System will be assembled. A photoelastic spur gear specimen will be taken for study and image processing will be performed on the acquired image using a DSLR camera. Boundary design and defects will be studied by binarization of the image and interpretation of the acquired data in a computer language called Python. The work is carried out in the direction of successfully incorporating this technique of defects detection in future Machine vision systems.

Keywords: Boundary defects, Photoelasticity, Machine vision, Image processing.