Abstract: A method of identifying defects in a fabric can include obtaining an image of a fabric on a loom, extracting feature points within the image to generate an input image, processing the input image with a machine learning model, detecting one or more defects within the input image using the machine learning model, and providing, by the machine learning model, an indication of a defect in the input image.

Abstract: An embodiment of the invention may provide a portable, inexpensive two-view 3D stereo vision imaging system, which acquires a 3D surface model and dimensions of an object. The system may comprise front-side and back-side stereo imagers which each have a projector and at least two digital cameras to image the object from different perspectives. An embodiment may include a method for reconstructing an image of a human body from the data of a two-view body scanner by obtaining a front scan image data point set and a back scan image data point set. A smooth body image may be gained by processing the data point sets using the following steps: (1) data resampling; (2) initial mesh generation; (3) mesh simplification; and (4) mesh subdivision and optimization.

Abstract: The present invention provides a system for imaging a surface in real time. The system includes two or more real time digital imaging devices positioned to capture two or more images of a surface, wherein the two or more real time digital imaging devices are set in different exposure modes; and an image processing device that processes the two or more images, wherein the two or more images are complementary and together form a complete shadow-free image of the surface. The two or more real time digital imaging devices are line-scan cameras or other types of digital cameras, wherein each of the two or more real time digital imaging devices is independently set at an under-exposure mode, an over-exposure mode or an intermediate exposure mode. Multi-exposed images are fused together through a multi-scale decomposition and reconstruction method for crack detection.

Abstract: An embodiment of the invention may provide a portable, inexpensive two-view 3D stereo vision imaging system, which acquires a 3D surface model and dimensions of an object. The system may comprise front-side and back-side stereo imagers which each have a projector and at least two digital cameras to image the object from different perspectives. An embodiment may include a method for reconstructing an image of a human body from the data of a two-view body scanner by obtaining a front scan image data point set and a back scan image data point set. A smooth body image may be gained by processing the data point sets using the following steps: (1) data resampling; (2) initial mesh generation; (3) mesh simplification; and (4) mesh subdivision and optimization.

Abstract: The present invention is an apparatus, system and method for determining surface conditions in real time including a real time digital imaging device positioned relative to capture one or more images of a surface and an image processing device that processes the one or more images to identify defects (e.g., cracks) in the surface, wherein the imaging processing device determines the intensity of one or more regions of the one or more images, compares the intensity of one of the one or more regions to the intensity of another of the one or more regions, and designates the region as defective.

Abstract: The present invention is an apparatus, system and method for preparing samples for analysis including a mechanical fiber cutting apparatus. The mechanical fiber cutting apparatus has two or more cutter blades under the control of a blade moving mechanism. A fiber chamber is positioned to receive the one or more cut fibers created by the cutting action of the two or more cutter blades. The pressurized gas source connected to the fiber chamber transfers the one or more cut fibers into a sample preparation housing. The one or more cut fibers are distributed randomly onto a sample slide within the sample preparation housing.

Abstract: The present invention is an apparatus, system and method for preparing samples for analysis including a mechanical fiber cutting apparatus. The mechanical fiber cutting apparatus has two or more cutter blades under the control of a blade moving mechanism. A fiber chamber is positioned to receive the one or more cut fibers created by the cutting action of the two or more cutter blades. The pressurized gas source connected to the fiber chamber transfers the one or more cut fibers into a sample preparation housing. The one or more cut fibers are distributed randomly onto a sample slide within the sample preparation housing.

Abstract: The present invention is an apparatus, system and method for determining surface conditions in real time including a real time digital imaging device positioned relative to capture one or more images of a surface and an image processing device that processes the one or more images to identify defects (e.g., cracks) in the surface, wherein the imaging processing device determines the intensity of one or more regions of the one or more images, compares the intensity of one of the one or more regions to the intensity of another of the one or more regions, and designates the region as defective.