Abstract: Systems and methods for engine imaging are provided. An imaging system includes an optical sensor coupled to an insertion tool and a light source configured to output alight projection onto a component of the engine assembly. The system includes a processor configured to: receive data comprising a plurality of frames from the optical sensor captured while the component of the engine assembly is rotating, determine an angular displacement of the component between frames, and form a 3D point cloud of the component based on combining the data in the frames based on the angular displacement of the component between the frames.

Abstract: A control circuit accesses three-dimensional image information for a given three-dimensional object. The control circuit accesses a selection corresponding to a feature of the three-dimensional object, and then automatically generates a plurality of synthetic images of the three-dimensional object as a function of the three-dimensional and the selection of the aforementioned feature. By one approach, these synthetic images include supplemental visual emphasis corresponding to the aforementioned feature. The generated plurality of synthetic images can then be used as a training corpus when training a machine learning model.

Abstract: A pulse illumination imaging system is provided. The system includes an image sensor, a light source, and a controller. The image sensor includes a plurality of light sensitive pixel elements that are activatable for a designated exposure time to capture one or more images. The controller is configured to determine an activation time to activate the image sensor based on motion of a target element relative to the image sensor; activate the image sensor at the activation time; and activate the light source during the exposure time of the image sensor to produce a pulse having a preconfigured time duration that is less than the exposure time of the image sensor.

Abstract: A control circuit accesses three-dimensional image information for a given three-dimensional object. The control circuit accesses a selection corresponding to a feature of the three-dimensional object, and then automatically generates a plurality of synthetic images of the three-dimensional object as a function of the three-dimensional and the selection of the aforementioned feature. By one approach, these synthetic images include supplemental visual emphasis corresponding to the aforementioned feature. The generated plurality of synthetic images can then be used as a training corpus when training a machine learning model.

Abstract: According to some embodiments, a system and method are provided comprising a vegetation module to receive image data from an image source; a memory for storing program instructions; a vegetation processor, coupled to the memory, and in communication with the vegetation module, and operative to execute program instructions to: receive image data; estimate a vegetation segmentation mask; generate at least one of a 3D point cloud and a 2.5D Digital Surface Model based on the received image data; estimate a relief surface using a digital terrain model; generate a vegetation masked digital surface model based on the digital terrain model, the vegetation segmentation mask and at least one of the 3D point cloud and the 2.

Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising an imagery data source storing image data from a plurality of images; a ground point module; a memory storing program instructions; and a ground point processor, coupled to the memory, and in communication with the ground point module and operative to execute the program instructions to: receive image data for an area of interest (AOI); generate a digital surface map from the received image data, wherein the digital surface map includes an elevation value for each of a plurality of points on the digital surface map; generate a ground point sampling based on the elevation values for the plurality of points on the digital surface map; generate an image boundary sampling based on elevation values for the plurality of points along a plurality of edges of the area of interest; and interpolate the generated ground point sampling and the image boundary sampling to generate a digital terrain map.

Abstract: Devices and methods are provided herein useful to aligning or linking together data from multiple inspections of a part. In some embodiments, the inspection methods include detecting key points on inspection data associated with the part, such as images. Key points provide the locations of features of interest on the part. Key points for the part are represented by feature descriptors. The inspection methods then link together data from two or more inspections by matching the feature descriptors and calculating a distance between matched key points. The inspection methods identify the proper alignment of inspection data from two or more inspections by identifying the alignment that achieves a minimum distance between matched key points on the inspection data. In this manner, the inspection methods align or link together inspection data from two or more different inspections to enable the comparative analysis of inspection data for a part.

Abstract: A method for inspecting an object includes determining a first inspection package that includes a first inspection image of the object and a first designation. The method includes determining data indicative of a second inspection package that includes a second inspection image of the object and a second designation. The method includes determining a first property of the object based on the first inspection image of the object, one or more properties maps of the object, and the first designation. The method includes determining a second property of the object based on the second inspection image of the object, the one or more properties maps of the object, and the second designation. The method includes displaying the first property and the second property or displaying data indicative of a comparison of the first property with the second property.

Abstract: A method for inspecting an object includes receiving or determining inspection image data, the inspection image data including an inspection image pixel array with at least one inspection image pixel in the inspection image pixel array having a pixel property associated therewith. The method includes receiving via a processor a user input associated with a continuous segment of inspection image pixels in the inspection image pixel array. The method includes determining a property of the object based on the pixel properties associated with the continuous segment of inspection image pixels in the inspection image pixel array.

Abstract: A method for inspecting an object includes determining guide image data of the object from a determined orientation, the guide image data including a guide image pixel array and a pixel property for at least one guide image pixel in the guide image pixel array. The method also includes receiving inspection image data indicative of an inspection image and associating the inspection image data with the guide image data with a processor of a computing device. Additionally, the method includes determining a property of the object based on the guide image data and the associated inspection image data.

Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising a 3D building modeling module; a memory for storing program instructions; a 3D building modeling processor, coupled to the memory, and in communication with the 3D building modeling module and operative to execute program instructions to: receive a region of interest; receive an image of the region of image from a data source; generate a surface model based on the received image including one or more buildings; generate a digital height model; decompose each building into a set of shapes; apply a correction process to the set of shapes; execute a primitive classification process to each shape; execute a fitting process to each classified shape; select a best fitting model; and generate a 3D model of each building. Numerous other aspects are provided.

Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising an image data source storing image data from a plurality of images; a height map source storing height maps for an area of interest (AOI); a building footprint module; a memory; and a building footprint processor, operative to execute the program instructions to: receive image data for an AOI; receive a height map for the AOI; execute a building segmentation module to generate a building mask that indicates a presence of one or more buildings in the AOI; apply at least one clean mask process to the generated building mask to generate a clean mask; receive the clean mask at an instance building segmentation module; and execute the instance building segmentation module to generate at least one building footprint based on the clean mask and the received image data. Numerous other aspects are provided.

Abstract: According to some embodiments, a system and method are provided comprising a vegetation module to receive image data from an image source; a memory for storing program instructions; a vegetation processor, coupled to the memory, and in communication with the vegetation module, and operative to execute program instructions to: receive image data; estimate a vegetation segmentation mask; generate at least one of a 3D point cloud and a 2.5D Digital Surface Model based on the received image data; estimate a relief surface using a digital terrain model; generate a vegetation masked digital surface model based on the digital terrain model, the vegetation segmentation mask and at least one of the 3D point cloud and the 2.

Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising an imagery data source storing image data from a plurality of images; a ground point module; a memory storing program instructions; and a ground point processor, coupled to the memory, and in communication with the ground point module and operative to execute the program instructions to: receive image data for an area of interest (AOI); generate a digital surface map from the received image data, wherein the digital surface map includes an elevation value for each of a plurality of points on the digital surface map; generate a ground point sampling based on the elevation values for the plurality of points on the digital surface map; generate an image boundary sampling based on elevation values for the plurality of points along a plurality of edges of the area of interest; and interpolate the generated ground point sampling and the image boundary sampling to generate a digital terrain map.

Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising an image data source storing image data from a plurality of images; a height map source storing height maps for an area of interest; a building footprint module; a memory storing program instructions; and a building footprint processor, coupled to the memory, and in communication with the building footprint module and operative to execute the program instructions to: receive image data for an area of interest (AOI); receive a height map for the AOI; execute a building segmentation module to generate a building mask that indicates a presence of one or more buildings in the AOI; apply at least one clean mask process to the generated building mask to generate a clean mask; receive the clean mask at an instance building segmentation module; and execute the instance building segmentation module to generate at least one building footprint based on the clean mask and the received image data.

Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising a 3D building modeling module; a memory for storing program instructions; a 3D building modeling processor, coupled to the memory, and in communication with the 3D building modeling module and operative to execute program instructions to: receive a region of interest; receive an image of the region of image from a data source; generate a surface model based on the received image including one or more buildings; generate a digital height model; decompose each building into a set of shapes; apply a correction process to the set of shapes; execute a primitive classification process to each shape; execute a fitting process to each classified shape; select a best fitting model; and generate a 3D model of each building. Numerous other aspects are provided.

Abstract: The present disclosure describes a detection system and methods for detecting a presence of a person or animal within a confined space with a low false alarm rate. The detection system may include a chemical detector to determine whether respiratory gas concentrations within the confined space exceed a predetermined concentration threshold. The detection system may further include an accelerometer-controlled, range-controlled radar unit to detect movement within the confined space during times in which acceleration of the confined space is less than a predetermined acceleration threshold. In this manner, a measured respiratory gas concentration that initially indicates a presence of a person or animal within the confined space may be confirmed by motion detection.

Abstract: A method of processing image data of a scanned object includes performing, in integer format, a pixel offset correction on the image data using unsigned saturation arithmetic to produce an image in integer format having negative value pixels clipped to a value of zero. The resulting pixels are converted to floating point format and are multiplied by a positive floating point gain factor. The resulting pixels are further converted to integer format and clamped to a maximum value using saturation arithmetic. Non-functional pixel correction is performed in integer format, and the resulting pixel values are clamped to a maximum value using saturation arithmetic. The resulting pixel value is mapped in integer format to a palette index using a lookup table to establish an output pixel intensity having one of a plurality of intensity levels.

Abstract: Methods and apparatus for processing cash advance requests are described. In one embodiment, the system includes a data repository, and a process management and workflow system coupled to the data repository. The process management and workflow system is configured to record a cash advance request, evaluate current collateral information, and evaluate current credit status.

Abstract: Methods and apparatus for submitting reports to an automated lending system are described. At a lowest level interface, a user manually submits information via a browser, and at a highest level interface, information is submitted via a print driver. Although the broadest spectrum of client base is addressed by having the loosest coupling to the accounting system, i.e., the lowest level interface, the loosest coupling requires the most user interaction. As the interface level increases, the accounting system has a tighter coupling with the system, which provides increased functionality at the expense of restricting the variety of client types that may be supported (e.g., platform and operating system specific).