Recent years, the significant advantage has been taken by ceramic industrial from the strong evolution in automation. All production phases have been addressed through various technical innovations, with the exception of the final stage of the manufacturing process. When applying computer vision on ceramic product quality inspection, the different kind of product of ceramic makes it difficult, especially on ceramic bowls, which have a curved surface. It is difficult to analyze rapidness and catch the production rate. This paper proposed an approach for automatic surface imperfection inspection of ceramic products. The bowl’s curved surface unfolding model was discussed derived from helicoid unfolding method. Experiment shows that this method can be nicety.