The SURFIN’ system employs machine vision technology coupled with laser lighting in order to capture the element’s surface and inspects it as if it were cold, even though the inspection takes place at a temperature of over 1,000 degrees. Therefore, in order to detect production errors, the captured images of the object’s total surface are processed and classified based on a software development application based on Artificial Intelligence (SVMs).

Hyperspectral technologies provide images with information on the chemical composition of the elements found in the analysed sample. This technology is implanted in the food, biomedical, recycling and steel industries, to name a few. One of the greatest problems in the use of these hyperspectral images lies in the difficulty to generate models to characterize each element. Tecnalia’s Computer Vision Group has developed a system which allows the use of hyperspectral techniques in applications for end-users.


Tecnalia Computer Vision has image processing libraries that allow advanced enhancement, colour correction, noise removal, correction of lighting, out of focus correction and fog elimination. This system improves the quality of original images both for their visualization by operators as well as to enable computer vision algorithms.

BIOSIMIL (Automated system for similar image searches in medical image databases) is a development line that allows for an automated search of similar images based on image features (texture, colour, distribution, etc. ) in large databases..

Automated process control of thermographic images that allow the optimisation of the process and an early detection of errors/flaws.