公开(公告)号：EP4263365A1

公开(公告)日：2023-10-25

申请号：EP21840845.8

申请日：2021-12-17

申请人： TETRA LAVAL HOLDINGS & FINANCE S.A.

发明人： BORELLI, Gabriele ,  CAMPO, Federico

IPC分类号： B65B57/14 ,  B65B57/00 ,  B65B9/207 ,  B65B9/213 ,  G05B13/02 ,  G06N20/00 ,  B65B65/00 ,  G05B19/418 ,  B65B3/26 ,  B65B37/00

公开(公告)号：EP3886063A1

公开(公告)日：2021-09-29

申请号：EP21163638.6

申请日：2021-03-19

申请人： Tetra Laval Holdings & Finance S.A.

发明人： EGIDI, Sara ,  MOLARI, Gabriele ,  CAMPO, Federico

IPC分类号： G07F7/06 ,  G06Q10/00

摘要： A method (700) for identifying a state of a food package (100) by using a camera (402, 1002) is provided. The method comprises capturing (702) image data (606) depicting a section (102, 202, 302, 502) of the food package (100, 200, 300, 500) by using the camera (402, 1002), wherein the section (102, 202, 302, 502) comprises at least one package feature (106, 206, 306, 506, 512-544), identifying (708) a package feature sub-set (110, 210, 310, 510) of the image data (606) depicting the at least one package feature provided in the section (102, 202, 302, 502), and determining (710) the state of the food package (100, 200, 300, 500) based on the package feature sub-set (110, 210, 310, 510) of the image data (606), wherein the state is selected from a food holding state (1102) and an emptied state (1104).

公开(公告)号：EP4286822A1

公开(公告)日：2023-12-06

申请号：EP23175886.3

申请日：2023-05-29

申请人： Tetra Laval Holdings & Finance S.A.

发明人： CAMPO, Federico ,  CAPELLI, Luca ,  CAVALAGLIO CAMARGO MOLANO, Jacopo

IPC分类号： G01M7/00 ,  G01M99/00 ,  B65B57/00 ,  G05B23/02

摘要： A virtual sensing system (1) for monitoring the condition of a container packaging machine (2) for packaging containers filled with a pourable food product, the system (1) reconstructing a target condition monitoring signal based on input data from the container packaging machine (2) and having: an input module (6), to receive from the container packaging machine (2) the input data that are indicative of the target condition monitoring signal that is to be reconstructed; and an artificial intelligence - Al - module (8), to implement a machine learning algorithm to generate an output condition monitoring signal, being a reconstruction of the target condition monitoring signal, based on the input data; and an output module (9), to provide the output condition monitoring signal generated by the Al module (8), for further processing thereof by a condition monitoring module (9), designed to assess and/or to predict a condition of the container packaging machine (2) based on the output condition monitoring signal.