The article presents the usage of machine vision to automate quality control (QC) of metallic surfaces. QC include detection of selected defects of metallic surface, i.e. scratches, cracks. Imaging using the scatter method has been proposed, resulting in greater contrast. The article provides a detailed description of the measurement stand, image acquisition method and image analysis algorithm. The project’s principal aim is to construct an automatic system that controls the state of the surface with a frequency of 6 Hz.
The article presents subject of using machine vision in order to automate quality control (QC) of wires and electric cable. QC include measurement of selected parameters of wires used for construction of electric cable, i.e. diameter of wires, length of crimped part as well as alignment of tested cable. Moreover, QC implicate surface defects analysis on both isolation surface and wire surface. The article provides detailed description of image acquisition for chosen cable series, image analysis method and measurement of selected parameters. The principal aim of the project is the construction of automatic system that control parameters of electric cable, designed to work in industrial conditions with frequency of 10Hz.
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