Abstract: A method for detection and measurement of metallic objects such as rebars embedded in a concrete building structure, with emitting an electro-magnetic sensor signal and measuring an inductive response signal at different sensing positions at the surface of the structure, thereby measuring the sensing positions in such a way that the response signal is position determined. The detection of objects and determination of their depths and/or diameters is based on AI models which evaluate the response signal.

Abstract: A coordinate measuring machine comprising a movable unit adapted to move a measuring head in a measuring volume and an operating state display system comprising first state light indicators located in a top portion of the machine and visible from a distance at 360°, and a display defining a graphical user interface; the state light indicators are configured to assume colours representative of different states of the machine, and the GUI comprises at least one indicator visible from a distance and representative of the state of the machine and an information area visible by an operator in close proximity to the machine and containing operational details related to the state of the machine.

Abstract: Systems and methods for surveillance of a facility including facility elements. The system includes a central computing unit providing a digital model of the facility providing topological or logical or functional relationships of the facility elements, surveillance sensors adapted for surveillance of a plurality of the facility elements and for generation of surveillance data, communication means for transmitting data from the surveillance sensors to the central computing unit, and state derivation means configured to analyse the surveillance data and derive a state of a respective facility element. The central computing unit is configured to record a state pattern by combining states of at least one facility element based on at least one relationship of the facility element provided by the facility model, provide a state pattern critical-noncritical classification model which considers relationships provided by the facility model, and perform a criticality-classification based on the relationship.

Abstract: A surveying device for a coordinative position determination of a spatial point, wherein the surveying device comprises a camera which is fixedly mounted to a transmission unit in a way that its field-of-view moves with a targeting component. The surveying device further comprises an image evaluator, configured for automatically identifying corresponding image features in different images of the camera, wherein the corresponding image features represent reference points within the environment, and for a derivation of a spatial transformation parameter from a motion of the corresponding features, wherein the spatial transformation parameter provides for a determination of a difference of a spatial pose of a target axis of the surveying device between different distance measurements which correspond to different images.

Abstract: Systems and methods to automatically provide graphics rendering optimization settings in real-time to a client device for rendering of graphics by a client application such as running on a browser or hand-held device. Specifically, a specially-configured Graphics Rendering Optimization Client application running on a client device sends requests to a corresponding Graphics Rendering Optimization Service running on a server system to obtain graphics rendering settings in real-time for rendering of graphics by the client application running on the client device, thereby providing automated and real-time graphics rendering optimization with little impact on the performance of the client application and client device. In certain embodiments, the Graphics Rendering Optimization Service employs an AI-based model that is trained and used to predict the graphics rendering settings in real time to improve the rendering performance.

Abstract: An aerial camera instrument configured to acquire high-resolution aerial images from a target area. The aerial camera instrument comprises (i) an imaging sensor having an electronic global shutter functionality, (ii) an external shutter component, and (iii) a coupling functionality configured to synchronize the electronic global shutter functionality and the external shutter component.

Abstract: Systems and methods thereof, of generating a unique identification code for an industrial commodity. The method includes receiving a user query indicative of at least one constructional and operational characteristic of the commodity, inspecting the user query to determine whether the user query is complete for identification of the commodity, updating the user query based on the inspection, identifying at least one attribute of the commodity from the updated user query, based on a list of predefined attributes of the commodity, mapping the at least one attribute to at least one of predefined attribute types, predefined regional standards, predefined commodity rules, and predefined commodity types, and generating the unique identification code for the commodity, based on the mapping. The predefined attribute types may be a predefined commodity group and a predefined commodity part.

Abstract: A coordinate measuring machine for measuring a number of measuring points on a surface, the coordinate measuring machine comprising a base, a probe head with an optical probe, a machine structure for linking the probe head to the base, at least one drive mechanism for providing movability of the probe head relative to the base, at least one encoding unit, an optical overview sensor unit arranged at the machine structure and a controlling and processing unit adapted at least for controlling the drive mechanism. The optical probe comprises an optical detection unit, in particular a sensor, a variable focal length lens capable of modifying its focal length and an actuating unit configured and arranged relative to the variable focal length lens so that the actuating unit provides setting and varying the focal length as a function of a controlling signal.

Abstract: Systems and methods for surveillance of a facility including facility elements. The system includes a central computing unit providing a digital model of the facility providing topological or logical or functional relationships of the facility elements, surveillance sensors adapted for surveillance of a plurality of the facility elements and for generation of surveillance data, communication means for transmitting data from the surveillance sensors to the central computing unit, and state derivation means configured to analyse the surveillance data and derive a state of a respective facility element. The central computing unit is configured to record a state pattern by combining states of at least one facility element based on at least one relationship of the facility element provided by the facility model, provide a state pattern critical-noncritical classification model which considers relationships provided by the facility model, and perform a criticality-classification based on the relationship.

Abstract: A measuring system for measuring an object, the measuring system comprising a capture device comprising a set of illumination elements for illuminating the object and a set of cameras for capturing an image of the object, and a controlling and processing unit. The controlling and processing unit comprises at least a data acquisition functionality which is configured to provide surface data by activating at least a part of the set of illumination elements for illuminating the object with measuring light and capturing at least one image by detecting measuring light reflected at the object by means of at least a part of the set of cameras.

Abstract: A measuring system for measuring an object, the measuring system comprising a capture device comprising a set of illumination elements for illuminating the object and a set of cameras for capturing an image of the object, and a controlling and processing unit. The controlling and processing unit comprises at least a data acquisition functionality which is configured to provide surface data by activating at least a part of the set of illumination elements for illuminating the object with measuring light and capturing at least one image by detecting measuring light reflected at the object by means of at least a part of the set of cameras and a 3D-modelling functionality which is configured to provide a 3D model of the object by processing the surface data.

Abstract: A method for identifying a surface property of the skin of a person, the method comprises acquiring surface data of the skin of the person by activating illumination elements for illuminating the skin of the person with measuring light and capturing at least one image by detecting measuring light reflected by the skin of the person by means of a camera, and providing a 3D model of the skin of the person by processing the surface data. The 3D model is provided in a virtual space and a virtual light source is provided in the virtual space to virtually illuminate the 3D model with illumination light, wherein illumination parameters of the virtual light source are variable.

Abstract: Systems, devices, and methods including selecting one or more sequences of machining types for a feature of one or more features, where the selection of the one or more sequences of machining types is based on the feature and a database of prior selections of machining types; selecting one or more tools for the selected one or more sequences of machining types, where the selection of the one or more tools is based on the feature, the selected one or more sequences of machining types, and a database of prior selections of one or more tools; and selecting one or more machining parameters for the selected one or more tools, where the selected machining parameters are based on the feature, the selected one or more sequences of machining types, the selected one or more tools, and a database of prior selections of one or more machining parameters.

Abstract: A system includes a model database configured to contain model items representing capital project components. Each model item has at least one model item code. The system includes a schedule database configured to contain schedule items representing a portion of a construction schedule. Each schedule item has at least one schedule item code. The system additionally includes a cost database configured to contain cost items representing a cost for the portion of the construction schedule and/or the capital project components. Each cost item has at least one cost item code. A rules engine is configured to receive a rule for mapping model items, schedule items, and cost items. The rule includes a code sequence related to the model item, the schedule item, and the cost item. A mapping engine communicates with the model, schedule, and cost databases to map model, schedule, and cost based on the rules.

Abstract: A coordinate measuring machine for determining at least one spatial coordinate of a measurement point on an object, comprising a structure movably connecting a probe head to a base, the structure comprising a plurality of rotary joints and a plurality links, wherein each rotary joint comprises at least one driving unit, wherein the coordinate measuring machine comprises a control unit configured to control the driving units for driving the probe head relative to the base for approaching the measurement point, to receive angular data, and to determine the at least one spatial coordinate of the measurement point based on the angular data.

Abstract: A method for processing satellite signals to derive a geospatial position, comprising: receiving a plurality of GNSS signals from a plurality of GNSS satellites; capturing a digital image using an imaging device at least partially oriented toward the plurality of GNSS satellites, the digital image comprising a multitude of pixels, a first subset of pixels imaging the sky, and a second subset of pixels imaging obstructions that are at least partly impermissible to GNSS signals and/or have reflective surfaces; determining an orientation of the image; and computing a geospatial position. For each of at least a subset of the plurality of GNSS satellites: extracting signal features from the respective GNSS signal; processing the image to extract image features; combining the extracted signal features and the extracted image features to receive a feature combination; and deriving a signal classification and/or an estimated local error of the respective GNSS signal.

Abstract: A graphical user interface is configured to guide a user through a method of creating a RESTful API protocol-compliant URL, without requiring that the user be familiar with syntax of the RESTful API protocol. The graphical user interface includes a URL output that indicates to the user features within a user-edited URL that render the user-edited URL non-compliant with the RESTful API protocol. The graphical user interface includes a set of graphical input devices to solicit and receive from the user input specifying a set of query options, which user input is used to define the RESTful API protocol-compliant URL. The graphical user interface is automatically customized to solicit and receive from the user input only for options available from a specific data service.

Abstract: A geodetic surveying instrument comprising a sighting unit for aiming in a target direction (t) at a measurement target point, a defined axis of rotation for setting the target direction (t) by rotation about the axis (v, h), an optical angle encoder for determining the target direction, having a code carrier and at least one image sensor for capturing an image of code-denoted code image-of the code carrier, whereby the code carrier and image sensor are rotatable relative to one another about the defined axis of rotation (v) as a first degree of freedom. The controller is configured to determine the target direction (t) based on evaluation of a code image of the image sensor.

Abstract: A computer-implemented method for generating anonymized 3D data of a surrounding, the surrounding comprising a multitude of 3D features of a plurality of feature categories, the plurality of feature categories including at least a first feature category, 3D features of which being designated for anonymization, the method comprising providing 3D data of the surrounding, the 3D data comprising 3D patterns, the 3D patterns corresponding to the 3D features in the surrounding, wherein a first pattern type corresponds to the first feature category, the method comprising identifying at least a first portion of the mesh or point cloud that comprises at least a first 3D pattern of the first pattern type, the first portion of the mesh or point cloud corresponding to a first data portion of the 3D data, and obtaining at least one alternative 3D pattern for the first pattern type.

Abstract: A computer-implemented method and computer system for colourising a 3D point cloud of a setting, the method comprising acquiring point cloud data and image data of the setting, wherein the point cloud data comprises coordinates and an intensity value for each point of the point cloud, and the image data provides colour information of the setting, wherein the method further comprises combining the intensity values and the colour information in a common aligned space, identifying points of the point cloud and/or pixels in the image data that are affected by content discrepancies or anomalies between the colour information and the point cloud data, a neural network deriving, for each of the identified points and/or pixels, colourising information from joint evaluation of the combined intensity values and colour information, and assigning to each of the identified points and/or pixels, the respective colourising information.