In recent years, industrial vision has become increasingly important in manufacturing processes, revolutionizing quality control and automation. This multidisciplinary field integrates principles of optics, electronics, computer science and artificial intelligence to develop systems capable of acquiring, processing and interpreting images with greater speed and accuracy than the human eye. Its application enhances production efficiency and product quality while simultaneously reducing operational costs and the risk of errors. In this context, this thesis aims to develop an industrial vision system to support the cosmetic inspection of lenses, specifically to detect dust and distinguish it from actual defects. The project consists of several phases, beginning with the selection of the optimal hardware configuration, which includes choosing the camera, optics and illumination system.