Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tamas Czimmermann"'
Autor:
Alberto Mazzoni, Calogero M. Oddo, Giacomo Valle, Domenico Camboni, Ivo Strauss, Massimo Barbaro, Gianluca Barabino, Roberto Puddu, Caterina Carboni, Lorenzo Bisoni, Jacopo Carpaneto, Fabrizio Vecchio, Francesco M. Petrini, Simone Romeni, Tamas Czimmermann, Luca Massari, Riccardo di Iorio, Francesca Miraglia, Giuseppe Granata, Danilo Pani, Thomas Stieglitz, Luigi Raffo, Paolo M. Rossini, Silvestro Micera
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/bce311aef6dc4b06933e0d6f578adb0c
Autor:
Gastone Ciuti, Paolo Dario, Stefano Roccella, Mario Milazzo, Marco Barbieri, Marcello Chiurazzi, Tamas Czimmermann, Calogero Maria Oddo
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 19:1691-1706
Quality control in industry involves trained operators to manipulate and inspect metallic surfaces in order to identify, and eventually correct, manufacturing defects. These tasks are manually performed, and a poor performance (e.g., missing defects)
Autor:
Danilo Pani, Tamas Czimmermann, Francesca Miraglia, Silvestro Micera, Giuseppe Granata, Gianluca Barabino, Caterina Carboni, Calogero Maria Oddo, Paolo Maria Rossini, Domenico Camboni, Lorenzo Bisoni, Thomas Stieglitz, Fabrizio Vecchio, Luca Massari, Luigi Raffo, Francesco Maria Petrini, Massimo Barbaro, Giacomo Valle, Riccardo Di Iorio, Simone Romeni, Roberto Puddu, Ivo Strauss, Jacopo Carpaneto, Alberto Mazzoni
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Scientific Reports
Scientific Reports
Humans rely on their sense of touch to interact with the environment. Thus, restoring lost tactile sensory capabilities in amputees would advance their quality of life. In particular, texture discrimination is an important component for the interacti
Autor:
Tamás Czimmermann, Gastone Ciuti, Mario Milazzo, Marcello Chiurazzi, Stefano Roccella, Calogero Maria Oddo, Paolo Dario
Publikováno v:
Sensors, Vol 20, Iss 5, p 1459 (2020)
This paper reviews automated visual-based defect detection approaches applicable to various materials, such as metals, ceramics and textiles. In the first part of the paper, we present a general taxonomy of the different defects that fall in two clas
Externí odkaz:
https://doaj.org/article/458a99215a1d43d19c4f4f6bdd504ef8