Abstract: A method for detecting defects includes steps of: (1) calculating an average value for intensity of CT image voxels in a neighborhood; (2) calculating a difference value for the intensity of the voxels in the neighborhood; (3) calculating a standard deviation for the intensity of the voxels in the neighborhood; (4) calculating a z-score for each one of the voxels; (5) identifying a cluster of neighboring ones of the voxels; (6) determining a cluster-boundary parameter of the cluster; and (7) classifying the cluster as a defect when the cluster-boundary parameter of the cluster is above a parameter threshold.

Abstract: An example method for detection of impurities in additive manufacturing material includes illuminating, by a light source, a sample of additive manufacturing material with light, while illuminating the sample of the additive manufacturing material with light, causing a camera to acquire image data of the sample, and processing the image data to determine an amount of impurities in the sample of the additive manufacturing material. An example system for detection of impurities in additive manufacturing material includes a light source for illuminating a sample of additive manufacturing material with light, a camera for acquiring image data of the sample while illuminating the sample of the additive manufacturing material with light, and a computing device having one or more processors configured to execute instructions stored in memory for processing the image data to determine an amount of impurities in the sample of the additive manufacturing material.

Abstract: A method includes receiving topic names from a metrology interface device, where the topic names correspond to data generated by metrology devices associated with a manufacturing operation. The method also includes accessing a data stream from the metrology interface device. The data stream includes converted metrology data (in a common format) from the metrology devices and corresponding topic names. The method further includes extracting first converted metrology data from the data stream based on a first topic name of the topic names. The first converted metrology data is generated by converting first metrology data from a first metrology device of the metrology devices to the first converted metrology data having the common format. The method also includes comparing the first converted metrology data to a specification, detecting a condition based on the comparison, and sending a command to a manufacturing device based on the condition.

Abstract: A method includes receiving topic names from a metrology interface device, where the topic names correspond to data generated by metrology devices associated with a manufacturing operation. The method also includes accessing a data stream from the metrology interface device. The data stream includes converted metrology data (in a common format) from the metrology devices and corresponding topic names. The method further includes extracting first converted metrology data from the data stream based on a first topic name of the topic names. The first converted metrology data is generated by converting first metrology data from a first metrology device of the metrology devices to the first converted metrology data having the common format. The method also includes comparing the first converted metrology data to a specification, detecting a condition based on the comparison, and sending a command to a manufacturing device based on the condition.

Abstract: An example method is described that includes providing, for display, a three-dimensional (3D) model of a part. The method also includes receiving, via a graphical user interface, data defining a cutting plane. The cutting plane intersects the 3D model of the part and divides the 3D model into a first portion and a second portion. The method further includes determining a first set of minimum-volume bounding boxes that is tangent to the cutting plane and encloses the first portion of the 3D model, and determining a second set of minimum-volume bounding boxes that is tangent to the cutting plane and encloses the second portion of the 3D model. The method also includes providing a preform geometry for the part. The preform geometry includes the first set of minimum-volume bounding boxes and the second set of minimum-volume bounding boxes.

Abstract: An example method is described that includes providing, for display, a three-dimensional (3D) model of a part. The method also includes receiving, via a graphical user interface, data defining a cutting plane. The cutting plane intersects the 3D model of the part and divides the 3D model into a first portion and a second portion. The method further includes determining a first set of minimum-volume bounding boxes that is tangent to the cutting plane and encloses the first portion of the 3D model, and determining a second set of minimum-volume bounding boxes that is tangent to the cutting plane and encloses the second portion of the 3D model. The method also includes providing a preform geometry for the part. The preform geometry includes the first set of minimum-volume bounding boxes and the second set of minimum-volume bounding boxes.

Abstract: A software module apparatus for enabling a user to generate a virtual tripwire through a geographic area of interest using a plurality of sensors. The apparatus may make use of an input for allowing a user to input a digital elevation model (DEM) of the area of interest. An input responsive to a user controlled device may also be used for defining a swath of the area of interest, the swath representing a subregion laying over, or adjacent to, a border to be monitored. A display may be generated for illustrating computed locations of a plurality of independent sensors used to form the virtual tripwire through the swath of the area of interest.

Abstract: A method for optimum sensor layout for detecting an intruder may include selecting candidate sensor locations within a representation of an area of regard. The method may also include determining a sub-region of detection for each sensor based on a preset probability of detection of the intruder traversing a sub-region associated with each sensor. The method may additionally include determining each pair of sensors with overlapping sub-regions of detection and determining a lowest probability of detection for any path between each pair of sensors with overlapping sub-regions of detection. The method may further include determining an optimum layout of sensor locations or sensors from candidate sensor locations based on a path of the lowest probability of detection for any path between each pair of sensors with overlapping sub-regions of detection.

Abstract: A method for forming a virtual tripwire through a subregion of an area of interest. The method may involve performing a geometric analysis of terrain in the subregion, the geometric analysis determining a location for each one of a pre-designated plurality of candidate sensors that may potentially be used in forming the virtual tripwire. A viewshed for each candidate sensor is determined. Each viewshed represents a coverage region for its associated candidate sensor. A geometric beginning point and a geometric end point within the subregion are each defined for the virtual tripwire. The viewsheds are analyzed to determine a number of the candidate sensors required to form a path for the virtual tripwire from the beginning point to the end point.

Abstract: A method for forming a virtual tripwire through a subregion of an area of interest. The method may involve performing a geometric analysis of terrain in the subregion, the geometric analysis determining a location for each one of a pre-designated plurality of candidate sensors that may potentially be used in forming the virtual tripwire. A viewshed for each candidate sensor is determined. Each viewshed represents a coverage region for its associated candidate sensor. A geometric beginning point and a geometric end point within the subregion are each defined for the virtual tripwire. The viewsheds are analyzed to determine a number of the candidate sensors required to form a path for the virtual tripwire from the beginning point to the end point.

Abstract: A software module apparatus for enabling a user to generate a virtual tripwire through a geographic area of interest using a plurality of sensors. The apparatus may make use of an input for allowing a user to input a digital elevation model (DEM) of the area of interest. An input responsive to a user controlled device may also be used for defining a swath of the area of interest, the swath representing a subregion laying over, or adjacent to, a border to be monitored. A display may be generated for illustrating computed locations of a plurality of independent sensors used to form the virtual tripwire through the swath of the area of interest.