Abstract: A machine for working and/or moving metal pieces has an operating system, an artificial vision system with a camera to acquire an image of at least one piece, a control unit to control the operating system, and a processing unit for processing the image with a Deep Learning algorithm or a contour recognition algorithm depending on whether the contour stretch is precisely and completely delineated, extracting geometric information of the piece based on the contour stretch with reference to a reference system of the machine and sending the geometric information to the control unit to configure operating parameters of the operating system.

Abstract: An apparatus for measuring a bending angle of a sheet, comprising a processing unit and at least one sensor comprising a light source which projects a light pattern on at least one side of the sheet, and recording means adapted to record an image of the projection of said light pattern on the at least one side of the sheet. The processing unit is adapted to control the recording means for recording the image in at least one time instant (Treg1; Treg1, Treg2 . . . Tregn) during an operation of bending the sheet; a control unit is capable of transforming the recorded image into a point cloud and comprises a neural network adapted to associate a bending angle value with the point cloud.

Abstract: An apparatus (2) for measuring a bending angle of a sheet (3) is described, comprising a processing unit (10) and at least one sensor (4) comprising a light source (42) which projects a light pattern (52) on at least one side (31, 32) of the sheet (3), and recording means (41) adapted to record the image of the projection of said light pattern on a side of the sheet. The processing unit (10) is adapted to control the recording means for recording the image in at least one time instant (Treg1; Treg1, Treg2 . . . Tregn) during the operation of bending the sheet (3); the control unit is capable of transforming the recorded image (56) into a point cloud (57) and comprises a neural network (115) adapted to associated a bending angle value (60, 200) with the point cloud. (FIG.