Abstract: A computer-implemented method for training a software infrastructure based on machine-learning techniques to analyse data obtained from a instrumental examination of objects of a predetermined type, where each of the objects has been obtained by splitting a product into smaller pieces, wherein the software infrastructure receives, for each object in a training set, training input data comprising the data obtained from the instrumental examination and training output data comprising information on the characteristics of interest of the training object, wherein the information on the characteristics of interest is, at least in part, information that has been obtained from the results of a tomographic examination of the product from which the training object was obtained, and wherein the software infrastructure processes, through its own training unit, the training input data and the training output data for each training object in order to set internal processing parameters for the software infrastructure which

Abstract: This disclosure relates to a method for non-destructive inspection of a fruit (1) having an axis of rotational symmetry (10). The method comprises the step of positioning the fruit (1) in such a way that its axis of rotational symmetry (10) has an orientation that is substantially parallel to a predetermined plane (20) and the step of radiographing the fruit (1), where the direction of emission of X-rays is substantially perpendicular to said predetermined plane (20) and an X-ray image obtained (41) lies on said predetermined plane (20). The X-ray image obtained (41) is processed to calculate, at corresponding points of the X-ray image (41), respective values of attenuation of the X-ray signal through the fruit (1). The X-ray image (41) is divided into a plurality of sections (415) which are perpendicular to the projection (410) of the axis of rotational symmetry (10) on the predetermined plane (20).

Abstract: Computer implemented method for training a software infrastructure based on machine learning techniques and intended for analysis of data obtained from a three-dimensional tomographic inspection of objects of a predetermined type, such as logs, with the aim of determining information about internal characteristics of interest of the self-same objects, wherein, once a training set comprising a plurality of objects of the same predetermined type has been selected, for each object the software infrastructure is supplied with training input data and corresponding training output data, which are processed by the software infrastructure for setting internal processing parameters of the software infrastructure which correlate the training input data with the training output data; where the training input data comprise data obtained from a three-dimensional tomographic inspection of the object, and the training output data comprise information about internal characteristics of interest assessed at internal points of

Abstract: This invention relates to a method for non-destructive inspection of a log (1) to identify inner zones of sapwood (14) of the log (1) that have not been attacked by fungi that cause bluestain in the wood. The method comprises a first step of carrying out a tomographic scan of the log (1) to be inspected using X-ray beams that pass through the log (1) and a second step of obtaining a three-dimensional representation of the log (1) that is representative of the local moisture content of the log, the local moisture content being correlated with attenuation of the X-ray beams through the log. The method comprises the step of processing the three-dimensional representation of the log (1) to identify inner regions (145) of the log (1), in which the local moisture content is greater than or equal to a moisture threshold value for a spatial extent greater than an extent threshold.

Abstract: A method for establishing a posteriori a match between a piece of wood and a log from which the piece of wood has been obtained, comprising the following operating steps of performing a tomographic scan of the wooden log, of calculating or selecting a log cutting pattern, of defining, starting with the tomographic information available, one or more virtual individualising characteristics which are linked to the distribution and/or size of physical characteristics of the log inside and/or on the surface of the self-same virtual piece of wood, of saving them in a database, together with information about the identity of the log, of dividing the log into real pieces of wood according to the cutting pattern, of acquiring real information about the distribution and/or size of physical characteristics of the log inside and/or on the surface of a real piece of wood and of defining corresponding real individualising characteristics to be compared with virtual individualising characteristics saved and of identifying a

Abstract: An apparatus for forming compacted powder products. The apparatus includes a powder supply system and a compacting station. An emitter emits an input X-ray beam having a predetermined emission intensity. An output detector detects an output parameter representing an output intensity of the X-ray beam which passes through the powders. A reference detector detects a reference parameter representing the effective intensity of the X-ray beam generated. A control unit is programmed to compensate the output parameter by means of the reference parameter and to generate a control signal representing the density detected and to control the powder supply system by means of the control signal.

Abstract: This disclosure relates to a method for non-destructive inspection of a fruit (1) having an axis of rotational symmetry (10). The method comprises the step of positioning the fruit (1) in such a way that its axis of rotational symmetry (10) has an orientation that is substantially parallel to a predetermined plane (20) and the step of radiographing the fruit (1), where the direction of emission of X-rays is substantially perpendicular to said predetermined plane (20) and an X-ray image obtained (41) lies on said predetermined plane (20). The X-ray image obtained (41) is processed to calculate, at corresponding points of the X-ray image (41), respective values of attenuation of the X-ray signal through the fruit (1). The X-ray image (41) is divided into a plurality of sections (415) which are perpendicular to the projection (410) of the axis of rotational symmetry (10) on the predetermined plane (20).

Abstract: This invention relates to a method for non-destructive inspection of a log (1) to identify inner zones of sapwood (14) of the log (1) that have not been attacked by fungi that cause bluestain in the wood. The method comprises a first step of carrying out a tomographic scan of the log (1) to be inspected using X-ray beams that pass through the log (1) and a second step of obtaining a three-dimensional representation of the log (1) that is representative of the local moisture content of the log, the local moisture content being correlated with attenuation of the X-ray beams through the log. The method comprises the step of processing the three-dimensional representation of the log (1) to identify inner regions (145) of the log (1), in which the local moisture content is greater than or equal to a moisture threshold value for a spatial extent greater than an extent threshold.