Tag: Secure AI

This Use Case takes advantage of STAR’s security and data governance technologies in order to ensure the integrity, confidentiality, availability, non-repudiation and authenticity of industrial data used by AI systems and processes. Techniques for decentralized validation of industrial data are employed, notably techniques that audit/validate datasets derived from sensors and unreliable data sources. The UC leverages also […]

The integration of AI has unlocked a realm of transformative capabilities such as automatic visual inspection, predictive maintenance, and optimizing production lines. However, it has also introduced new security challenges, as malicious actors exploit the interactions between AI and legacy ICT systems. Adversarial Machine Learning (AML) has emerged as a significant concern in critical AI […]

Human factors play a predominant role in IBER’s production processes i.e., the processes are not fully automated. Hence, training of human resources in the various production processes is planned and carried out in advance, in accordance with appropriate operational methods. This will lead to improvement of operative methods and consequently to the reduction of human errors […]

This Use Case linearizes production planning towards reducing the work peaks and consequently the number of extra work hours, but also towards reducing production down times as well. It leverages advanced online process sensing/monitoring systems and different parameters and variables into the manufacturing process and products. To this end, non-destructive testing techniques are employed in order to […]

This Use Case develops human-centred digital twins that simulate production processes in real time, towards identifying scenarios that ensure safety and achieve the required flexibility. The digital twin enables the high-level planning and management systems to access detailed real time information from the production line, in order to get the general state of any production […]