Disclosed are systems and methods for detecting a printer jam. The systems and methods can include receiving a reference image of a printer opening and a second image of the printer opening. A lack of a receipt between the second image compared to the reference image can be detected. The lack of the receipt can indicate the printer jam. After detecting the printer jam, operation of the self-service terminal can be terminated.

An integrated system for automatic forming, picking, and inspection of a grinding wheel mesh piece and a method thereof, including a visual inspection system (1), a conveying system (2), a cutting system (3), and a picking system (4); the conveying system (2) is used to precisely control a conveying action of a cutting section conveying platform (51) and a picking section conveying platform (52), and the visual inspection system (1) is used to acquire an image of a grinding wheel mesh cloth, establish virtual origin coordinates of a cutting layout and center coordinates of the grinding wheel mesh piece after cutting, recognize defects of the grinding wheel mesh cloth, and calibrate qualified center coordinates and unqualified center coordinates; the cutting system (3) is used to cut the grinding wheel mesh cloth moved to the cutting section conveying platform (51) to obtain a circular grinding wheel mesh piece.

Embodiments of the present disclosure provide a method and apparatus for processing an image. An embodiment of the method includes: acquiring a two-dimensional garment image, where the two-dimensional garment image includes a style identifier of a garment; selecting a three-dimensional garment model matching the style identifier from a pre-established set of three-dimensional garment models, wherein the three-dimensional garment model includes scatter points labeled thereon; labeling the two-dimensional garment image with scatter points based on a pre-established coordinate mapping relationship between the two-dimensional garment image and the three-dimensional garment model and the scatter points of the selected three-dimensional garment model; generating a three-dimensional garment image of the acquired two-dimensional garment image based on the selected three-dimensional garment model and a result of the labeling.

Various examples are provided related to face identification of material. An image can be captured by a vision system and feature parameters determined and compared to a material feature database to determine which face of the material is being presented. The vision system can employ a set of parameters for configuration to acquire the image. The system can communicate the identification to downstream processes in real time. A near-universal, color agnostic, angular orientation independent identification of material faces can be determined without the need for physical manipulation of the material.

Methods of characterizing the topography of a surface of a creped material, devices for characterizing surface topography of a creped material, computer systems for characterizing surface topography of a creped material, and the like, are disclosed.

A characterization method for characterizing an article made of composite material having woven, braided, or sewn fiber reinforcement, the method including a determination step of using X-ray tomography to determine gray levels of at least a portion of the article, followed by an exploitation step of exploiting the gray levels to obtain information concerning the weaving by distinguishing between at least the free matrix and the threads of fibers mixed with the matrix, the threads being considered as being a material that is homogeneous.

The invention relates to a method and arrangement for detecting free fiber ends in a paper surface. The method comprises illuminating a target sample (6) surface, which comprises free fiber ends, from at least two directions one at the time, with at least one light source (1). Original reflectance images are obtained for the target sample (6) surface with an imaging device (4), and a surface normal is estimated for each image pixel of the original reflectance image. Thus it is possible to reconstruct a reconstructed reflectance image from the estimated surface normals, and to compare the reconstructed reflectance image and the corresponding original reflectance image and to construct a difference image, where the differences represent shadow objects of the free fiber ends in a paper surface.

This document presents a system and method for generating accurate, specific measurements of garments through the use of a camera associated with a mobile device and transmitting the measurements to relevant third party applications. The camera may capture an image of the garment and based upon metrics associated with the mobile device and camera, calculate the measurements and/or sizing of the garment captured in the camera image. The information may then be transmitted to a third party to assist in the creation of a personalized catalogue of garments that are less likely to be returned by a user for reasons of poor fit.

The disclosure described herein is directed to a computerized system and method of grading and authenticating collectibles utilizing digital imaging devices and processes to provide an objective, standardized, consistent high-resolution grading of collectible objects, such as but not limited to sport and non-sport trading cards. The disclosure eliminates the subjectivity present in the human grading process and overcomes the inherent limitations of the human eye.

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.