The CADRADO project is a technological innovation project whose main objective is to develop an automated software system for the detection and evaluation of defects and critical dimensions for the radiographic inspection of industrial parts.

Among the parts of interest for this type of application are the different parts made of light materials within the production of the aeronautical sector, a sector of great current relevance, both at Galician and national level. Likewise, this interest extends to other target sectors of composite materials, such as shipbuilding and wind energy.

In this way, the software will allow specific radiographic image analysis, where automatic studies are scarce and are oriented to materials with repetitive characteristics. The flexibility of the software to be developed is key for defect detection, metrology and feature extraction within different types of industrial parts. Specific filters and tools needed for a concrete and automated analysis will be generated, and finally the application will be integrated into a graphical user interface. The final interface will be user-friendly and simple, facilitating its integration into the radiographic inspection cycle in different industrial production scenarios.

This project is led by SYSPRO ENGINEERING, which has extensive experience in industry-oriented software development. With it, SYSPRO will extend its expertise to radiographic imaging in non-destructive testing (NDT), a field that differs from machine vision imaging as well as clinical radiography. The proposed solution will be applicable to any digital radiography system, and will fill current gaps in this field.

AIMEN, one of the most important Technological Centers in Galicia, will collaborate with SYSPRO in the development of this software from its wide knowledge in NDT and digital radiography in particular, covering the inspection part with different digital equipment as well as the initial image analysis by expert personnel.

This project is supported by the Xunta de Galicia through the Axencia Galega de Innovación.

Example of fault detection: