A new research project is started together with CHM
The VAXAMA project (Research and Development of New Artificial Vision Techniques for Asphalt Mix Production) aims to develop a methodology that automates the production control process of asphalt mixtures by applying new non-destructive testing techniques with artificial vision and image analysis.
The development of this project has been made possible thanks to the support of the Spanish Centre for the Development of Industrial Technology (CDTI). For its execution, a partially reimbursable grant of €507,789.15 has been awarded, out of a total budget of €597,399.00. Additionally, this grant is co-financed by the European Regional Development Fund (ERDF) through the multi-regional operational program of Spain 2021-2027.
Within the framework of the project, various activities are planned, including, in a first phase, research and design of new techniques and methodologies for characterization through non-destructive tests on a laboratory scale. These works are considered fundamental to achieve the final project goals, which involve the development of an industrial-level characterization technology integrated into the production processes of an asphalt plant.
Throughout the course of this project, efforts will be made to incorporate current trends focused on new approaches in the manufacturing of asphalt mixtures, in line with the priority areas of action of the Recovery, Transformation, and Resilience Plan. The primary objective of the project is to automate processes and digitize asphalt pavements during the production stage. Another significant technological innovation presented in the project is the development of an image analysis methodology using specific software and Artificial Intelligence (AI) to characterize and ensure quality control in asphalt mixture production.
With all this in mind, CTCON will actively collaborate in the proper development of the planned activities, providing support and technical assistance at each of the stages and tasks defined throughout the project. Additionally, due to the complexity and magnitude of the planned tasks, this project aims to collaborate with the National Center for Research on Human Evolution (CENIEH) and Novadep Scientific, given their proven experience in image analysis for material characterization.
