FÁBRICA AUTÓNOMA SOSTENIBLE Y SEGURA MEDIANTE TECNOLOGÍAS PROFUNDAS
The FAUSTO Project aims to lead the transition toward a competitive, secure, and sustainable autonomous factory by integrating advanced Artificial Intelligence and Deep Learning at the industrial edge. By leveraging Edge Computing architectures, the project enables real-time data processing and decision-making directly at the point of operation, reducing latency and enhancing operational autonomy in complex manufacturing environments.
The core research focuses on the development of a new generation of smart sensors and computer vision systems for in-process monitoring, including tool wear analysis and high-precision surface topography. To ensure the integrity of these hyper-connected systems, the project implements secure edge computing through GPUs and Blockchain-based digital identities, creating a robust framework for Digital Twins and autonomous models that optimize production conditions and overall sustainability.
The technological solutions are validated through high-level industrial demonstrators in the aerospace and automotive sectors. Backed by a high-impact consortium including machine tool leaders (DANOBAT, EKIN), industrial giants (FERSA, ITP Aero), and specialized research entities, FAUSTO ensures the real-world applicability of AI in manufacturing. This collaboration bridges the gap between academic research and industrial excellence, setting a new standard for the factory of the future.