Quality aspects are more important every day, since they have a major impact on the final product. The automobile industry is not unaware of this fact, being an important issue of the car's sheet quality analysis. Nowadays, most of the systems for quality analysis are implemented outside the production line and are performed manually. In this work, an autonomous system is proposed in order to enable the automatic quantification and classification of the imperfections produced in the sheets composing the auto bodywork due to the squeezing process. The system consists of a motorized system to capture the image, an algorithm to extract the geometrical information of the image obtained, and a system based on fuzzy logic to classify the imperfections measured from the geometrical parameters.