UC3M creates a new computer vision professorship

In collaboration with Álava Engineers


Credit: UC3M

The Universidad Carlos III de Madrid (UC3M) and the company Álava Engineers have created a professorship aimed at encouraging research in the field of computer vision. The general objectives of this professorship are to encourage research in subjects related to the implementation of computer vision with a perspective that allows its practical implementation and, therefore, is relevant for the company.

This scientific area, focused on getting computers to sense and understand images captured around them, wants artificial intelligence to be able to relate efficiently to its surroundings. This joint professorship between the UC3M and Álava Engineers will allow different R+D+I projects related to the area of image capture and analysis to be carried out. Work on communication software support in industry will also be carried out.

According to the UC3M head, José María Armingol Moreno, professor from the Systems Engineering and Automation department, the research professorship “will help the transfer of technology, which in the field of computer vision is carried out by the Intelligent Systems Laboratory, helping Álava Engineers to develop new products related to image processing by computers”.

In the words of José María Almazán Gómez, vice-president of Grupo Álava, this professorship constitutes a strategic vector of competitive growth for Grupo Álava: “We see computer vision as a technology that enables our new 4.0 value proposition for and by industry. It is a technology with great potential for development that impacts practically every link in the manufacturing industry value chain”, he comments.

New image technology

The professorship will propose the development of applications for the capture, display and analysis of images from different sources, offline as well as online. This will require the use of SDK and API tools (a type of collection that contains the elements necessary to create an application) specific to image analysis, generating and debugging code in order to achieve the best result for each application. There can be different types of technology used for image capture, such as conventional cameras, thermal or multi-hyperspectral imaging devices or picture transfer protocol such as GigE Vision, USB3 Vision, Camera Link or CoaXPress. In this respect, subsystems for “embedded vision” will be developed that combine cameras, processors and graphics cards along with the necessary application software, according to each project.

The professorship will try to publish and communicate the results of their research to citizens. Additionally, it will organise joint activities related to the promotion and dissemination of scientific culture and technological advances.


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