Design of inspection system of glaze defect on the surface of ceramic pot based on machine vision

Because of the restriction of glaze technology in the production of ceramic pot, it is easy to cause glaze defects on the surface. Currently, many ceramic pot production enterprises are still using artificial inspection of glaze defect on ceramic surface, which not only affects the ceramic pot production efficiency, but also cannot ensure the defect inspection accuracy. In terms of the current situation, an online inspection method of glaze on the surface of ceramic pot based on machine vision is proposed, so as to rapidly and accurately detect whether the target object has defects. This paper introduces the image processing algorithm of the common defects of ceramic pot, and establishes the online test platform. The experimental results show that the system can effectively glaze defects on the surface of ceramic pot products. This paper has some theoretical and applied value for the development of ceramic pot automatic detection technology.