Abstract: This invention relates to an artificial memory system and a method of continuous learning for predicting and anticipating human operator's action as response to ego-intention as well as environmental influences during machine operation. More specifically the invention relates to an architecture with artificial memory for interacting with dynamic behaviors of a tool and an operator, wherein the architecture is a first neural network having structures and mechanisms for abstraction, generalization and learning, the network implementation comprising an artificial hierarchical memory system.

Abstract: Method for the video inspection of a pantograph (100) along an overhead contact line, including the steps of: detecting passage of the pantograph (100) in a plurality of monitoring stations (2); in each monitoring station (2), in response to the detection of the passage of the pantograph (100), illuminating a first overhead zone in which a portion of the pantograph (100) passes; in each monitoring station (2), during the step of illuminating the first overhead zone, acquiring images of the first overhead zone by way of at least one pair of stereo video cameras (5a, 5b); calculating the disparity between the images acquired; reconstructing a three-dimensional model of the portion of the pantograph (100).

Abstract: Method for the video inspection of a pantograph (100) along an overhead contact line, comprising the steps of: detecting passage of the pantograph (100) in a plurality of monitoring stations (2); in each monitoring station (2), in response to the detection of the passage of the pantograph (100), illuminating a first overhead zone in which a portion of the pantograph (100) passes; in each monitoring station (2), during the step of illuminating the first overhead zone, acquiring images of the first overhead zone by means of at least one pair of stereo video cameras (5a, 5b); calculating the disparity between the images acquired; reconstructing a three-dimensional model of the portion of the pantograph (100).

Abstract: A measurement system (1) of the relative position between two structural parts (2a, 2b) of a building, that have separated for example following the formation of a crack, comprising a cylindrical permanent magnet (3) adapted to generate a magnetic field (B) and a sensor (5), the sensor (5) being fixed and the magnet (3) being moveable according to a direction perpendicular to its axis of symmetry (h) so as to vary the direction of the lines of force of the magnetic field B which cross the sensor 5.

Abstract: A method for automatic diagnostics of images related to pantographs, comprising the steps of: capturing an image that shows a pantograph of a locomotive, the image being taken from an aerial view during the travel of the locomotive, the image comprising the gliding area of a plurality of slippers of the pantograph; identifying, by means of a module for classifying the pantograph model, the model of the pantograph within a plurality of pantograph models, on the basis of the image captured; determining, by means of a module for classifying materials, a material of which the slippers are composed among a plurality of materials, on the basis of the pantograph model identified; and determining a value related to the state of wear for each one of the plurality of slippers, on the basis of the type of material determined.

Abstract: A measurement system (1) of the relative position between two structural parts (2a, 2b) of a building, that have separated for example following the formation of a crack, comprising a cylindrical permanent magnet (3) adapted to generate a magnetic field (B) and a sensor (5), the sensor (5) being fixed and the magnet (3) being moveable according to a direction perpendicular to its axis of symmetry (h) so as to vary the direction of the lines of force of the magnetic field B which cross the sensor 5.

Abstract: This invention relates to an artificial memory system and a method of continuous learning for predicting and anticipating human operator's action as response to ego-intention as well as environmental influences during machine operation. More specifically the invention relates to an architecture with artificial memory for interacting with dynamic behaviors of a tool and an operator, wherein the architecture is a first neural network having structures and mechanisms for abstraction, generalization and learning, the network implementation comprising an artificial hierarchical memory system.

Abstract: A method for automatic diagnostics of images related to pantographs, comprising the steps of: capturing an image that shows a pantograph of a locomotive, the image being taken from an aerial view during the travel of the locomotive, the image comprising the gliding area of a plurality of slippers of the pantograph; identifying, by means of a module for classifying the pantograph model, the model of the pantograph within a plurality of pantograph models, on the basis of the image captured; determining, by means of a module for classifying materials, a material of which the slippers are composed among a plurality of materials, on the basis of the pantograph model identified; and determining a value related to the state of wear for each one of the plurality of slippers, on the basis of the type of material determined.