This paper presents the development of an Intelligent Virtual Instrument (VI) for detecting and characterizing corrosion on aluminum and steel surfaces. Implemented within the LabVIEW® environment, the system utilizes colorimetric computer vision techniques tailored for the metalworking industry. The methodology integrates colorimetric and roughness analysis with Artificial Intelligence, specifically employing Fuzzy Logic for decision-making and Deep Learning algorithms for image processing. This system enables personnel without specialized training to perform rapid, objective diagnostics. The results demonstrate a high correlation between the color spectra of processed images and standard industry patterns, validating the instrument as an efficient and reliable alternative for diverse industrial environments.
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