A structured 3D model of a real-world object is generated from a series of 2D photographs of the object, using photogrammetry, a keypoint detection deep learning network (DLN), and retopology. In addition, object parameters of the object are received. A pressure map of the object is then generated by a pressure estimation DLN based on the structured 3D model and the object parameters. The pressure estimation DLN was trained on structured 3D models, object parameters, and pressure maps of a plurality of objects belonging to a given object category. The pressure map of the real-world object can be used in downstream processes, such as custom manufacturing.

A method of pose calculation for a portable three-dimensional scanning device including a first sensor and a second sensor the method including utilizing data from the first sensor and data from the second sensor to acquire data defining six degrees of freedom of the scanning device to optimize a first pose calculation, receiving data comprising one of data from the first sensor and data from the second sensor, selecting a subset of the six degrees of freedom of the scanning device, utilizing the data from the first sensor and the received data for the selected subset of six degrees of freedom to optimize a second pose, wherein the unselected degrees of freedom are retained from the first pose and storing received data associated with the second camera pose in a point cloud database.

A method of pose calculation for a portable three-dimensional scanning device including a first sensor and a second sensor the method including utilizing data from the first sensor and data from the second sensor to acquire data defining six degrees of freedom of the scanning device to optimize a first pose calculation, receiving data comprising one of data from the first sensor and data from the second sensor, selecting a subset of the six degrees of freedom of the scanning device, utilizing the data from the first sensor and the received data for the selected subset of six degrees of freedom to optimize a second pose, wherein the unselected degrees of freedom are retained from the first pose and storing received data associated with the second camera pose in a point cloud database.

A measurement system for frames of heavy duty trucks and trailers does not require a dimensional reference database. A plurality of electronic targets are attached to selected target points on the frame. A position of the laser scanner from the selected target points is determined. Measurement data for additional targets is determined. The frame dimensions are then analyzed for defects that are greater than a pre-set tolerance. Measurements outside of a tolerance range can be flagged with contrasting color. The results of the frame analysis are shown on the user's screen, on the electronic target, and can be printed out or emailed for future inspection. The frame can be repaired while the targets and laser scanner are still deployed so that the measurement system can continue to display the status of the measurement points in real time and the success of the repairs can be confirmed.

A measurement system for frames of heavy duty trucks and trailers does not require a dimensional reference database. A plurality of electronic targets are attached to selected target points on the frame. A position of the laser scanner from the selected target points is determined. Measurement data for additional targets is determined. The frame dimensions are then analyzed for defects that are greater than a pre-set tolerance. Measurements outside of a tolerance range can be flagged with contrasting color. The results of the frame analysis are shown on the user's screen, on the electronic target, and can be printed out or emailed for future inspection. The frame can be repaired while the targets and laser scanner are still deployed so that the measurement system can continue to display the status of the measurement points in real time and the success of the repairs can be confirmed.

A user can easily create a robot program. A measuring device includes a position determination processing part that determines a holding position, held by a robot hand, of a workpiece placed in a work space and determines coordinates of a fixed via point having any single attribute based on a result of measurement made by a measuring part and holding information, the fixed via point being one of an approach position of the robot hand for holding the holding position, the holding position, and a retreat position after holding, and an output part that outputs, to a robot controller, the coordinates of the fixed via point determined by the position determination processing part and attribute information showing the attribute of the fixed via point.

A user can easily create a robot program. A measuring device includes a position determination processing part that determines a holding position, held by a robot hand, of a workpiece placed in a work space and determines coordinates of a fixed via point having any single attribute based on a result of measurement made by a measuring part and holding information, the fixed via point being one of an approach position of the robot hand for holding the holding position, the holding position, and a retreat position after holding, and an output part that outputs, to a robot controller, the coordinates of the fixed via point determined by the position determination processing part and attribute information showing the attribute of the fixed via point.

One aspect of the invention relates to a method for intraoperative assessment of parathyroid gland viability in a surgery. The method includes diffusing a beam of light onto a tissue surface of a parathyroid gland of a patient to illuminate the tissue surface; acquiring images of the illuminated tissue surface, where each of the acquired images includes a speckle pattern; and processing the acquired images to obtain speckle contrast images for the intraoperative assessment of parathyroid gland viability.

A method measures an edge of a workpiece by scanning. The scanning is performed by a scanning tool mounted on a moving head of an edge-facing machine while that moving head is moved along the edge to be measured before, during or after an edge facing tool of the edge-facing machine that faces the edge. The method can be performed by an edge-facing machine that includes at least one edge facing tool and that further includes a scanning tool mounted on a movable head of the machine, which head is movable along an edge of a workpiece.

Systems, devices, and methods according to the present disclosure are configured for use in additive manufacturing, e.g. 3D printing. Various materials, including thermoplastic materials, can be used with an additive manufacturing system to create a part composite. Systems, devices, and methods described herein can be used to identify a characteristic of a material or of a material container for use with an additive manufacturing system. The identified characteristic can be used to determine an authenticity of the material. Based on the authenticity, one or more features or functions of the additive manufacturing system can be updated. The characteristic of the material may be optical information on the container of the material, e.g. a bar code, may be identified by emitting x-ray radiation and receiving a spectral characteristic, may be an electrical or magnetic characteristic or may be engraved on the surface of the material itself.