Faro Technologies, Inc.

Other

Denis Wohlfeld

Evelyn Schmitz

Heiko Bauer

Robert E Bridges

Rolf Heidemann

Helmut Kramer

Tobias Boehret

Bernd-Dietmar Becker

Matthias Wolke

Steffen Kappes

Florian Schellroth

An example method includes receiving a first plurality of coordinate measurement points capturing a portion of an environment and a reference object within the environment, the first plurality of coordinate measurement points defining at least a portion of a first point cloud. The method further includes receiving a second plurality of coordinate measurement points from a position other than the at least one aerial position, the second plurality of coordinate measurement points capturing at least some of the portion of the environment and the reference object within the environment, the second plurality of coordinate measurement points defining at least a portion of a second point cloud. The method further includes aligning the first point cloud and the second point cloud based at least in part on the reference object captured in the first point cloud and the reference object captured the second point cloud to generate a combined point cloud.

Aligning scans of an environment using a reference object

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.

Automated update of geometrical digital representation

A system and method for measuring coordinate values of an environment is provided. The system includes a coordinate measurement scanner that includes a light source that steers a beam of light to illuminate object points in the environment, and an image sensor arranged to receive light reflected from the object points to determine coordinates of the object points in the environment. The system also includes one or more processors for performing a method that includes receiving a previously generated map of the environment and causing the scanner to measure a plurality of coordinate values as the scanner is moved through the environment, the coordinate values forming a point cloud. The plurality of coordinate values are registered with the previously generated map into a single frame of reference. A current map of the environment is generated based at least in part on the previously generated map and the point cloud.

Correction of current scan data using pre-existing data

A system and method for detecting construction site defects and hazards using artificial intelligence (AI) is provided. The system includes a movable base unit, a coordinate measurement scanner, a vision based sensor, and one or more processors. The one or more processors perform operations that include generating a two-dimensional (2D) map of the environment based at least in part on output from the coordinate measurement scanner, applying image recognition to the video stream data to identify and label a defect or hazard in the video data stream, correlating a location of the defect or hazard in the video stream data with the location in the 2D map, and recording the location of the defect or hazard in the 2D map.

Construction site defect and hazard detection using artificial intelligence

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.

Environmental scanning and image reconstruction thereof

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.

Artificial intelligence based registration support for environmental scans

A system for shape dependent model identification in a point cloud includes a scanner device that captures a 3D point cloud that contains a representation of an object. The system further includes a computer that receives a sensor data, a capture time of the sensor data being substantially the same time as that of the 3D point cloud, the sensor data indicative of a position of a movable part of the object at the time of capture. The computer further computes an adjusted shape of the object from a baseline shape of the object by using the sensor data. The system further includes an object recognition module that searches for and identifies the adjusted shape of the object in the 3D point cloud.

Shape dependent model identification in point clouds

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.

Conversion of point cloud data points into computer-aided design (CAD) objects

A method and system for scanning and measuring an environment is provided. The method includes acquiring a first group of 3D coordinates of the area with a first 3D measurement device. The first 3D measurement device determines a distance to a surface in the area based at least in part on the speed of light. A second group of coordinates is acquired with a second measurement device while the first 3D measurement device is moved through the environment. The second measurement device being in a fixed relationship to the first 3D measurement device. The second measurement device determining a position of the second measurement device based on one or more points on the surface in the area based at least in part on a projected light. The first group of 3D coordinates is registered based at least in part the second group of coordinates.

Device and method for indoor mobile mapping of an environment

A system for updating a point cloud of an environment having markers for measuring an environment and a method are provided. The system includes a mobile device having a camera. The system further includes one or more processors responsive to executable computer instructions to perform a method comprising capturing one or more images of at least a portion of the environment that include the one or more markers in the one or more images, identifying the one or more markers within the one or more images, comparing the identified one or more markers to a reference system with known coordinates and integrating the one or more images into a point cloud.

Localization and projection in buildings based on a reference system

A three-dimensional (3D) forensic evidence system is provided. The system includes a noncontact measurement device operable to measure a distance from the device to a surface. A first camera is operably coupled to the noncontact measurement device, the first camera having a field of view. A light source is operably coupled to the first camera and operable to emit light onto the surface within the field of view. A processor operably is coupled to the first camera, the processor operable to execute computer instructions when executed on the processor for determining 3D coordinates of at least one point in the field of view based at least in part on the distance, and assigning at least one color value to the at least one point in response to determining an interaction of a predefined wavelength of light with a substance in the field of view.

Forensic three-dimensional measurement device

A method and system for scanning and measuring an environment is provided. The method includes providing a first three-dimensional (3D) measurement device. The 3D measurement device being operable in a helical mode or a compound mode, wherein a plurality of light beams are emitted along a first path defined by a first axis and a second axis in the compound mode and along a second path defined by the first axis in the helical mode. A mobile platform holding the 3D measurement device is moved from a first position. A first group of 3D coordinates of the area is acquired by the 3D measurement device when the mobile platform is moving. A second group of 3D coordinates of the area is acquired with a second 3D measurement device that with six-degrees of freedom (6DOF). The first group of 3D coordinates is registered based on the third group of 3D coordinates.

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Ludwigsburg, Germany

Denis Wohlfeld