Abstract: An inspection system comprises an imaging device mounted so as to image a component surface. At least one controllable light mounted at low oblique angles around the component and configured to illuminate the component surface and cast at least one shadow on the component surface. A processor is coupled to the imaging device and the at least one controllable light. The processor is used for determining a feature based on a dissimilarity between image data and a reference model, and to determine damage to the component.

Abstract: A method for detecting a crack in a structural component includes receiving, with a processor, signals indicative of at least one image for a critical location in the structural component; determining, with the processor, at least one shape in the at least one image, the at least one shape being representative of a structure of the critical location; representing, with the processor, at least one region around the structure into a matrix; and applying, with the processor, image processing on the matrix to detect cracks in the at least one region of the structural component.

Abstract: A method of assessing damage to a component includes displaying a sensor image of the component in a first viewing pane, displaying a reference image of the component, which is a graphical depiction of the component with accurate dimensions, in a second viewing pane, placing a plurality of first identification markers on the sensor image of the component in the first viewing pane to correspond to a matching location with a second identification marker on the component in the reference image, identifying a region of damage on the component in the sensor image, mapping the region of damage to the component in the reference image using the plurality of first and second identification markers, and calculating a size of the region of damage.

Abstract: A process for automated component inspection includes the steps of calibrating an imaging device mounted on a table; calibrating a coordinate measuring machine mounted on the table, the coordinate measuring machine comprising a fixture coupled to an arm of the coordinate measuring machine; coupling a component to the fixture; acquiring an image of said component with said imaging device; registering a baseline dimensioned image to the component image; applying the baseline dimensioned image to a damage detection algorithm; and determining component damage by the damage detection algorithm.

Abstract: A presence detection system includes an infrared detector and a radar detector. A computer processor of the system is configured to receive respective signals from the infrared and radar detectors and process the signals via execution of an algorithm.

Abstract: A detector includes a sensor configured to sense a moving object in at least one of the electromagnetic spectrum and the acoustic spectrum. A fixed coded aperture of the detector is disposed between a moving object and the sensor.

Abstract: A pyroelectric detector (20) includes a focal plane array (22) having a plurality of image sensors configured to convert electromagnetic energy into an electrical signal, and a memory module (24) coupled to the focal plane array. The focal plane array and the memory module are positioned on a common substrate platform (62).

Abstract: A method of operating an object detection and tracking system includes the step of estimating (202) a current background of a current frame of sensor data generated by a sensor based on a previous frame of sensor data by a computer-based processor. The method further includes estimating (204) a foreground of the current frame of sensor data by comparing the current frame of sensor data to the current background, and detecting (212) an object using a sensor-specific object model.

Abstract: An infrared presence detector system includes a focal plane array and a processor coupled to the focal plane array. The array includes a first radiant energy sensor and a plurality of second radiant energy sensors, with the first and second radiant energy sensors configured to convert incident radiation into an electrical signal. The processor is coupled to the focal plane array, and is configured to control the focal plane array in a sleep mode, wherein the first radiant energy sensor is energized and the plurality of second radiant energy sensors are de-energized, and an active mode, wherein at least the plurality of second radiant energy sensors are energized when the first radiant energy sensor detects a presence.

Abstract: A method of image-based quantification for allergen skin reaction includes imaging an area of skin that has been subject to a skin-prick test to produce one or more images of the area. The method includes identifying regions of wheal and/or flare in the one or more images of the area and quantifying weal and/or flare indicators based on the regions identified. The method also includes outputting results of the quantified wheal and/or flare indicators indicative of quantified allergen skin reaction.

Abstract: A system and method for user localization and acoustic voice interface are provided. The system including a locator system that includes at least one sensor that detects a location of a user and generates a location value, a listening system that includes a microphone array that includes at least one microphone, wherein the listening system receives the location value and collects an audio signal from the location defined by the location value, and a signal processor that generates a control signal based on at least the audio signal.

Abstract: A method of image-based quantification for allergen skin reaction includes imaging an area of skin that has been subject to a skin-prick test to produce one or more images of the area. The method includes identifying regions of wheal and/or flare in the one or more images of the area and quantifying weal and/or flare indicators based on the regions identified. The method also includes outputting results of the quantified wheal and/or flare indicators indicative of quantified allergen skin reaction.

Abstract: A method and intent recognition system that triggers voice recognition is provided. The intent recognition system includes an intent recognition device that detects a user location and/or behavior in a building and detects a triggering event based on the user location and/or behavior that suggests the user wants to input a service request, a prompt device that is triggered to provide a prompt based on the detecting by the intent recognition device and the detected triggering event, a listening device that receives an auditory input from the user, a signal processing device that processes the received auditory input and generates a control signal, and in-building equipment that receives the control signal from the signal processing device and controls the in-building equipment based on the control signal.

Abstract: A method of structural masking for progressive health monitoring of a structural component includes receiving a current image of the structural component. A processor aligns the current image and a reference image of the structural component. The processor performs a structure estimation on the current image and the reference image to produce a current structure estimate image and a reference structure estimate image. The processor generates a structural mask from the reference structure estimate image. The processor masks the current structure estimate image with the structural mask to identify one or more health monitoring analysis regions including a potential defect or damaged area appearing in the masked current structure estimate image that does not appear in the reference structure estimate image.

Abstract: A method of image-based quantification for allergen skin reaction includes imaging an area of skin that has been subject to a skin-prick test to produce one or more images of the area. The method includes identifying regions of wheal and/or flare in the one or more images of the area and quantifying weal and/or flare indicators based on the regions identified. The method also includes outputting results of the quantified wheal and/or flare indicators indicative of quantified allergen skin reaction.

Abstract: A method of image-based quantification for allergen skin reaction includes imaging an area of skin that has been subject to a skin-prick test to produce one or more images of the area. The method includes identifying regions of wheal and/or flare in the one or more images of the area and quantifying weal and/or flare indicators based on the regions identified. The method also includes outputting results of the quantified wheal and/or flare indicators indicative of quantified allergen skin reaction.

Abstract: A method of image-based quantification for allergen skin reaction includes imaging an area of skin that has been subject to a skin-prick test to produce one or more images of the area. The method includes identifying regions of wheal and/or flare in the one or more images of the area and quantifying weal and/or flare indicators based on the regions identified. The method also includes outputting results of the quantified wheal and/or flare indicators indicative of quantified allergen skin reaction.

Abstract: A method of image-based quantification for allergen skin reaction includes imaging an area of skin that has been subject to a skin-prick test to produce one or more images of the area. The method includes identifying regions of wheal and/or flare in the one or more images of the area and quantifying weal and/or flare indicators based on the regions identified. The method also includes outputting results of the quantified wheal and/or flare indicators indicative of quantified allergen skin reaction.

Abstract: A method of image-based quantification for allergen skin reaction includes imaging an area of skin that has been subject to a skin-prick test to produce one or more images of the area. The method includes identifying regions of wheal and/or flare in the one or more images of the area and quantifying weal and/or flare indicators based on the regions identified. The method also includes outputting results of the quantified wheal and/or flare indicators indicative of quantified allergen skin reaction.

Abstract: A method of image-based quantification for allergen skin reaction includes imaging an area of skin that has been subject to a skin-prick test to produce one or more images of the area. The method includes identifying regions of wheal and/or flare in the one or more images of the area and quantifying weal and/or flare indicators based on the regions identified. The method also includes outputting results of the quantified wheal and/or flare indicators indicative of quantified allergen skin reaction.