Abstract: 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.

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 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.

Abstract: 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.

Abstract: 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.

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: 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: An example system for measuring three-dimensional (3D) coordinate values of an environment is provided. The system includes a mobile scanning platform configured to measure coordinates in the environment. The mobile scanning platform has one or more radio antennas. The system further includes one or more processors operably coupled to the mobile scanning platform, the one or more processors being responsive to nontransitory executable instructions for performing a method. The method includes registering the measured coordinates to generate a point cloud. Registering includes triangulating a position of the mobile scanning platform based at least in part on data received from the one or more radio antennas. Registering further includes adjusting an orientation or position of one or more of the measured coordinates to align with a layout of the environment.

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 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.

Abstract: 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.

Abstract: A system and method for monitoring and servicing objects within a location. The system includes a scanner structured to measure coordinates of a point within a map of a location, an image capture device, a communications circuit structured to communicate with an external device or network, and a processor operably coupled to the scanner, the image capture device, and the communications circuit. The processor is configured to identify an object based on either an image captured by the image capture device or coordinates of a surface of the object measured by the scanner, to control the scanner to obtain a location of the object within the 2D map, and to control the communications circuit to transmit status data or a service request regarding the object and the location of the object to an external device or network.

Abstract: 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.

Abstract: 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.