Abstract: A system and method for inspecting a surface with cloud based processing, comprising: generating surface data by inspecting a surface; transferring said surface data from a client to a cloud, wherein said cloud comprises multiple interconnected computing nodes that are remotely located from said client; computing surface properties using said surface data on said cloud; generating surface analytics from said surface properties and a prior information set, with said prior information set comprising surface properties previously stored in said cloud; and transferring said surface properties and said surface analytics from said cloud to said client, whereby said surface properties and said surface analytics are generated with processing power, memory, and storage that are scalable, reliable, and upgradable on demand.

Abstract: A system and method for inspecting a surface, comprising: illuminating said surface with an electromagnetic radiation to generate scattered radiation from features of said surface; inducing a change in phase to said scattered radiation for reducing divergence of said scattered radiation and for redirecting said scattered radiation towards a predetermined spatial region; focusing after said radiation has propagated to said spatial region; capturing an image of radiation, whereby said features of said surface are detected in said image of radiation.

Abstract: A system and method for inspecting a surface, comprising: illuminating a region of said surface, with said region having an aspect ratio larger than unity; capturing an image of scattered radiation originating from said region; and computing electromagnetic field of said scattered radiation from said image of scattered radiation and generating an image of region by computational propagation of said electromagnetic field through a predetermined distance, whereby features of said region are captured in said image of region.

Abstract: A system and method for inspecting a surface with cloud based processing, comprising: generating surface data by inspecting a surface; transferring said surface data from a client to a cloud, wherein said cloud comprises multiple interconnected computing nodes that are remotely located from said client; computing surface properties using said surface data on said cloud; generating surface analytics from said surface properties and a prior information set, with said prior information set comprising surface properties previously stored in said cloud; and transferring said surface properties and said surface analytics from said cloud to said client, whereby said surface properties and said surface analytics are generated with processing power, memory, and storage that are scalable, reliable, and upgradable on demand.

Abstract: Embodiments of the present invention relate to a high-resolution imaging device with wide field and extended focus comprising a beam generator for generating a plurality of nondiffracting beams and a scanning mechanism for moving the plurality of nondiffracting beams relative to the object to illuminate a volume of the object. The high-resolution imaging device also comprises surface element and a body having a light detector layer outside the surface element. The light detector layer has a light detector configured to measure light data associated with the plurality of nondiffracting beams illuminating the volume of the object. In some cases, the high-resolution imaging device also includes a lens inside of the light detector layer. The lens is configured to focus the light on the light detector surface.

Abstract: A method for certifying an inspection system using a calibrated surface, comprising: acquiring a calibrated list from said calibrated surface, with said calibrated list comprising information about features located on said calibrated surface; inspecting said calibrated surface with said inspection system to generate an estimated list, with said estimated list comprising information about features located on said calibrated surface; generating a matched list by searching for the presence of one or more calibrated features in said estimated list, wherein said calibrated features are listed in said calibrated list; computing an estimated characteristic parameter from said matched list, wherein said estimated characteristic parameter quantifies features in said matched list having a unifying characteristic; and comparing said estimated characteristic parameter with a calibrated characteristic parameter, wherein said calibrated characteristic parameter quantifies features in said calibrated list having said unifyi

Abstract: A method for designing a filter to image a feature on a surface, comprising: acquiring an image of said feature, with said image of feature comprising information from multiple points of said feature; generating a structural model of said feature by extracting predetermined properties of said feature from said image of feature; computing a scattering model for said feature from said structural model of said feature, with said scattering model for feature having information on scattered electromagnetic field from feature propagating in a plurality of scattering angles, wherein said scattered electromagnetic field from feature is generated by scattering of an electromagnetic radiation by said feature; acquiring an image of said surface, with said image of surface comprising information from multiple points of said surface; generating a structural model of said surface by extracting predetermined properties of said surface from said image of surface; computing a scattering model for said surface from said struct

Abstract: A system and method for inspecting a surface, comprising: illuminating said surface with an electromagnetic radiation to generate scattered radiation, having a plurality of scattering angles, from features of said surface; collecting said scattered radiation from said surface at two or more positions, with radiation collected at each position forming an image of a plurality of points on said surface by collecting a portion of said scattered radiation propagating in a subset of said scattering angles; detecting images of surface at two or more said positions; and combining information from two or more said images of surface to generate a global information set, having information from a plurality of said scattering angles collected by two or more said imaging modules, whereby said features of said surface are detected in said images of surface and in said global information set.

Abstract: A method for certifying an inspection system using a calibrated surface, comprising: acquiring a calibrated list from said calibrated surface, with said calibrated list comprising information about features located on said calibrated surface; inspecting said calibrated surface with said inspection system to generate an estimated list, with said estimated list comprising information about features located on said calibrated surface; generating a matched list by searching for the presence of one or more calibrated features in said estimated list, wherein said calibrated features are listed in said calibrated list; computing an estimated characteristic parameter from said matched list, wherein said estimated characteristic parameter quantifies features in said matched list having a unifying characteristic; and comparing said estimated characteristic parameter with a calibrated characteristic parameter, wherein said calibrated characteristic parameter quantifies features in said calibrated list having said unifyi

Abstract: A system and method for inspecting a surface, comprising: illuminating said surface with an electromagnetic radiation to generate scattered radiation from features of said surface; inducing a change in phase to said scattered radiation for reducing divergence of said scattered radiation and for redirecting said scattered radiation towards a predetermined spatial region; focusing after said radiation has propagated to said spatial region; capturing an image of radiation, whereby said features of said surface are detected in said image of radiation.

Abstract: A system and method for inspecting a surface, comprising: illuminating a region of said surface, with said region having an aspect ratio larger than unity; capturing an image of scattered radiation originating from said region; and computing electromagnetic field of said scattered radiation from said image of scattered radiation and generating an image of region by computational propagation of said electromagnetic field through a predetermined distance, whereby features of said region are captured in said image of region.

Abstract: A camera for enhanced color imaging in a low light environment including: one or more illuminators for illuminating a R, a G, and a B light at different time periods; an image sensor for capturing R G and B image frames; and a processor configured to generate an intermediate color frame from each of the R, G and B image frames; determine moving pixels in the each of the intermediate color frames; determine a true color for the moving pixels in each intermediate color frame; generate a true color frame for each intermediate color frame by substituting color of the moving pixels with respective true colors of the moving pixels, in intermediate color frame; calculate scene color metrics from the true color frame or intermediate color frame; and adaptively adjust illumination of one or more of the R, G, and B lights to enhance a next frame.

Abstract: A method for improving quality of low light video images including: receiving a current video frame; temporally enhancing it by applying a first weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to the received frame and a reference frame to generate an enhanced temporal video frame; spatially enhancing the enhanced temporal video frame by applying a second weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to generate an enhanced spatial video frame; and motion enhancing the enhanced temporal video frame by extracting matched rigid moving objects in a previous or future frame and processing each of the extracted matched rigid moving objects with a corresponding rigid object in the enhanced temporal or spatial or raw current video frame.

Abstract: A system and method for detecting a feature located on a surface, comprising: attaching a label to said feature; generating a label radiation from said label, a feature radiation from said feature, and a surface radiation from said surface; collecting said label radiation, said feature radiation, and said surface radiation; separating said label radiation from said feature radiation and said surface radiation; capturing the separated label radiation for generating an image of label, with said image of label having one or more pixels; and locating label pixels corresponding to said label radiation by searching for pixels, in said image of label, that possess substantially different pixel values when compared to other pixels in local neighborhood, whereby said feature is located by detecting said label.

Abstract: A system and method for illuminating a surface, comprising: providing a reflective layer around said surface; directing an electromagnetic beam to be incident on said layer; aligning said layer, said beam, and said surface so that said beam undergoes a plurality of reflections on said layer for illuminating a predetermined region of said surface, whereby the size of said region is larger than the size of said beam, and the intensity of illumination on said region is higher than the value obtained by multiplying the intensity of said beam and the ratio of the size of said beam to the size of said region.

Abstract: An optically-based target detection system includes a holographic detection filter designed to produce a concentrated spot when a target is present.

Abstract: A method for improving quality of low light video images including: receiving a current video frame; temporally enhancing it by applying a first weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to the received frame and a reference frame to generate an enhanced temporal video frame; spatially enhancing the enhanced temporal video frame by applying a second weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to generate an enhanced spatial video frame; and motion enhancing the enhanced temporal video frame by extracting matched rigid moving objects in a previous or future frame and processing each of the extracted matched rigid moving objects with a corresponding rigid object in the enhanced temporal or spatial or raw current video frame.

Abstract: A method and system for enhancing image resolution using optical image translation, including: receiving multiple dissimilar low-resolution images generated by a time varying linear phase mask (LPM); receiving a direction vector for each of the multiple dissimilar low-resolution images; interleaving the received multiple dissimilar low-resolution images using the received direction vectors to form an intermediate high-resolution image; computing a likelihood of pixel motion in the intermediate high-resolution image; compensating for pixel motion in the intermediate high-resolution image; and generating a final high-resolution image.

Abstract: A method for improving quality of low light video images including: receiving a current video frame; temporally enhancing it by applying a first weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to the received frame and a reference frame to generate an enhanced temporal video frame; spatially enhancing the enhanced temporal video frame by applying a second weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to generate an enhanced spatial video frame; and motion enhancing the enhanced temporal video frame by extracting matched rigid moving objects in a previous or future frame and processing each of the extracted matched rigid moving objects with a corresponding rigid object in the enhanced temporal or spatial or raw current video frame.

Abstract: A camera for enhanced color imaging in a low light environment including: one or more illuminators for illuminating a R, a G, and a B light at different time periods; an image sensor for capturing R G and B image frames; and a processor configured to generate an intermediate color frame from each of the R, G and B image frames; determine moving pixels in the each of the intermediate color frames; determine a true color for the moving pixels in each intermediate color frame; generate a true color frame for each intermediate color frame by substituting color of the moving pixels with respective true colors of the moving pixels, in intermediate color frame; calculate scene color metrics from the true color frame or intermediate color frame; and adaptively adjust illumination of one or more of the R, G, and B lights to enhance a next frame.