Today's industrial expectation for shaped sheet metal requires the development of new methods for measuring surface quality. Such solutions should include both the identification of surface defects and the evaluation of the surface condition after deformation. Therefore, the author proposes the use of the laser speckle method, a well-known digital imaging technique. This technique provides a fast and non-contact measurement of topographical quantities such as shape and quality of manufactured products. In this type of measurement, the laser speckle effect is created when coherent light falls on a rough surface, causing it to scatter randomly. A field of light and dark areas is generated, directly related to the geometric structure of the surface. In the solution presented here, stochastic laser speckle analysis was used to determine the correlation between the sheet surface deformation and its quality. For this purpose, optical speckle measurements were carried out on a flat specimen after a uniaxial tensile test. Statistical evaluation of the deformation process demonstrated the applicability of this technique for quantitative quality control of shaped sheet metal. The measurements were carried out using a specially designed automated optical vision system. Images of the deformed surface were captured in the Matlab software and second-order statistical features were evaluated using a discrete fast Fourier transform. In addition to the measurements taken, surface roughness was measured, which gives a full description of the 3D functional geometry of the material being tested. The Sa parameter was measured as an important indicator in the roughness measurement Sa, three-dimensional surface roughness.