Abstract: A method for automatically determining quality of registration of landmarks includes training an artificial intelligence (AI) system to detect inaccurate registration of landmarks. Training the AI system uses training data that includes scans of an environment captured by a 3D measuring device from corresponding scan points. A first scan is registered with at least a second scan based on one or more landmarks captured in the first scan and the second scan. Further, a model is created to identify incorrect registration by analyzing the training data. The analysis detects a mismatch in a first instance of a landmark in the first scan and a second instance of said landmark in the second scan. The model is then used to evaluate registration of landmarks in live data, the live data including a set of scans, the result identifying accuracy level of the registration of landmarks.

Abstract: A system includes a three-dimensional (3D) scanner, a camera, and one or more processors coupled with the 3D scanner and the camera. The processors capture a frame that includes a point cloud comprising plurality of 3D scan points and a 2D image. A 3D scan point represents a distance of a point in a surrounding environment from the 3D scanner. A pixel represents a color of a point in the surrounding environment. The processors identify, using a machine learning model, a subset of pixels that represents a reflective surface in the 2D image. Further, for each pixel in the subset of pixels, one or more corresponding 3D scan points is determined. An updated point cloud is created in the frame by removing the corresponding 3D scan points from the point cloud.

Abstract: A method, system, and computer product that track scanning data acquired by a three-dimensional (3D) coordinate scanner is provided. The method includes storing a digital representation of an environment in memory of a mobile computing device. A first scan is performed with the 3D coordinate scanner in an area of the environment. A location of the first scan is determined on the digital representation. The first scan is registered with the digital representation. The location of the 3D coordinate scanner is indicated on the digital representation at the time of the first scan.

Abstract: Aspects include a system and method for detection of computer-aided design (CAD) objects in point clouds. An example method includes obtaining, by a processing device, a labeled data set. The method further includes training, by the processing device, a model on the labeled data set using a two-dimensional (2D) object detector to calculate a three-dimensional (3D) box out of a detected 2D box by mapping coordinates on a geometric primitive image into 3D. The method further includes fitting, by the processing device, a computer-aided design (CAD) model into the 3D box.

Abstract: A method for updating a digital representation of an environment includes capturing an image of a portion of the environment using a change-detection device. Further, a corresponding digital data is determined that represents the portion in the digital representation of the environment. A change in the portion is detected by comparing the image with the corresponding digital data. In response to the change being above a predetermined threshold, the method includes initiating a resource-intensive scan of the portion using a scanning device, and updating the digital representation of the environment by replacing the corresponding digital data representing the portion with the resource-intensive scan.

Abstract: Techniques are described for updating a digital twin of an environment, particularly, a digital representation of an object in the environment. A system can include a change-detection device having a camera, and one or more processors responsive to executable computer instructions to perform a method. The method includes capturing an image of a portion of the object using the change-detection device. The method further includes determining a corresponding digital data representing the portion in the digital representation of the environment. The method further includes detecting a change in the portion by comparing the image with the corresponding digital data. The method further includes in response to the change being above a predetermined threshold, initiating a resource-intensive scan of the portion using a scanning device, and updating the digital representation of the object by replacing the corresponding digital data representing the portion with the resource-intensive scan.

Abstract: Aspects include a system and method for converting from point cloud data to computer-aided design (CAD) objects. A method includes providing a point cloud and a catalog of CAD objects. One of a plurality of points in the point cloud representing an item is selected. A CAD object in the catalog that corresponds to the item is selected. The CAD object is aligned to the item in the point cloud. A position and orientation of the aligned CAD object is output. The position and orientation are expressed in a coordinate system of the point cloud.

Abstract: Scanning systems and methods for measuring shafts are described. The scanning systems include a support structure and a scanner mounted to the support structure, at least one fixed guide arranged such that the support structure is configured to move along the at least one fixed guide, at least one positional guide arranged such that at least one positional guide is connected to the support structure to guide movement of the scanner along the at least one fixed guide, and an encoder operably coupled to the at least one positional guide and configured to measure, at least, a distance from the encoder to the support structure.

Abstract: A method for automatically determining quality of registration of landmarks includes training an artificial intelligence (AI) system to detect inaccurate registration of landmarks. Training the AI system uses training data that includes scans of an environment captured by a 3D measuring device from corresponding scan points. A first scan is registered with at least a second scan based on one or more landmarks captured in the first scan and the second scan. Further, a model is created to identify incorrect registration by analyzing the training data. The analysis detects a mismatch in a first instance of a landmark in the first scan and a second instance of said landmark in the second scan. The model is then used to evaluate registration of landmarks in live data, the live data including a set of scans, the result identifying accuracy level of the registration of landmarks.

Abstract: Aspects include a system and method for converting from point cloud data to computer-aided design (CAD) objects. A method includes providing a point cloud and a catalog of CAD objects. One of a plurality of points in the point cloud representing an item is selected. A CAD object in the catalog that corresponds to the item is selected. The CAD object is aligned to the item in the point cloud. A position and orientation of the aligned CAD object is output. The position and orientation are expressed in a coordinate system of the point cloud.