no code implementations • 19 Dec 2022 • Jože M. Rožanec, Patrik Zajec, Spyros Theodoropoulos, Erik Koehorst, Blaž Fortuna, Dunja Mladenić
In this research, we compare supervised and unsupervised defect detection techniques and explore data augmentation techniques to mitigate the data imbalance in the context of automated visual inspection.
no code implementations • 19 Dec 2022 • Jože M. Rožanec, Patrik Zajec, Spyros Theodoropoulos, Erik Koehorst, Blaž Fortuna, Dunja Mladenić
Industry 4. 0 aims to optimize the manufacturing environment by leveraging new technological advances, such as new sensing capabilities and artificial intelligence.
no code implementations • 21 Mar 2022 • Jože M. Rožanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Hooman Tavakoli, Sungho Suh, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia Anna Menesidou, Ruben Alonso, Nino Cauli, Antonello Meloni, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, Blaž Fortuna, Dunja Mladenić, John Soldatos
Human-centricity is the core value behind the evolution of manufacturing towards Industry 5. 0.
no code implementations • 2 Apr 2021 • Jože M. Rožanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaž Fortuna, Dunja Mladenić, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia Anna Menesidou, Rubén Alonso, Nino Cauli, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, John Soldatos
There is a lack of a single architecture specification that addresses the needs of trusted and secure Artificial Intelligence systems with humans in the loop, such as human-centered manufacturing systems at the core of the evolution towards Industry 5. 0.