Abstract: Methods and techniques for generating a composite visual representation that integrates visual data of a pet with potential purchased items are provided. Visual data of a pet is received. Features of the pet are extracted by analyzing the visual data. A first mapping for the pet is generated based on the extracted features using one or more computer vision algorithms. Measurement data of a pet-related item selected by a user is collected. A second mapping for the pet-related item is generated based on the measurement data. A third mapping that corresponds to one or more dimensional differences between the pet in the first mapping and the pet-related item in the second mapping is generated. A composite mapping is created by combining the first, second and third mappings. The composite mapping is displayed in an augmented reality environment.

Abstract: The present disclosure provides techniques for improved animal recognition and recommendations. One or more images of an animal associated with a user are captured at a check-in kiosk of an enterprise. A unique identifier of the animal is determined by processing the one or more images using an animal recognition machine learning model. One or more records indicating characteristics of the animal are accessed based on the unique identifier, and one or more recommended items for the animal are generated based on processing the one or more records using an artificial intelligence system. One or more physical locations of the one or more recommended items in the enterprise are determined, and one or more indications of the one or more physical locations are output to facilitate user navigation to the one or more physical locations of the one or more recommended items in the enterprise.

Abstract: Techniques for animal identification based on animal behavior. A first video depicting a first animal associated with a user during a first visit to an enterprise location is received. One or more attributes pertaining to the first animal or to the user are received. A first behavior of the first animal as depicted in the first video is extracted and encoded into a first behavioral representation. One or more machine learning models are trained to identify the first animal based on the first behavioral representation and the one or more attributes.

Abstract: Embodiments herein describe providing feedback to a shopper at a POS system using a computer vision system. Many items at a store may lack barcodes or other identifying marks such as produce. The shopper may have to perform an action to identify the item to the POS system. The computer vision system can double check the identify provided by the shopper to reduce mistakes and deter nefarious actors. If the computer vision system cannot independently confirm that the item being purchased matched the identity provided by the shopper, the POS system can display a graphical user interface (GUI) that includes an image of the item captured by the computer vision system along with identification data of the item identified by the shopper. This gives the shopper a chance to correct any mistakes.

Abstract: Embodiments herein describe providing feedback to a shopper at a POS system using a computer vision system. Many items at a store may lack barcodes or other identifying marks such as produce. The shopper may have to perform an action to identify the item to the POS system. The computer vision system can double check the identify provided by the shopper to reduce mistakes and deter nefarious actors. If the computer vision system cannot independently confirm that the item being purchased matched the identity provided by the shopper, the POS system can display a graphical user interface (GUI) that includes an image of the item captured by the computer vision system along with identification data of the item identified by the shopper. This gives the shopper a chance to correct any mistakes.

Abstract: Techniques for automatic recognition of items for point of sale (POS) systems are disclosed. A request to identify a first item for purchase is received. The request includes a first image captured at a POS system. The first image is analyzed using a machine learning model configured for image recognition, and in response a first product code is determined for the first item. This includes identifying the first product code as a primary product code from among a plurality of product codes, identifying a second item relating to the first item, where the second item is visually similar to the first item, and determining a second product code for the second item. The first product code, and the second product code, are transmitted to the POS system. The POS system is configured to present the first item and the second item as options for purchase using a user interface.

Abstract: A cargo supporting apparatus for use with a support structure includes a framework having an upper frame member having opposed first and second ends and a lower frame member having opposed first and second ends, the first end of the lower frame member being coupled to the first end of the upper frame member. The second end of the lower frame member is selectively coupled to a first location on the support structure. The second end of the upper frame member is selectively coupled to a second location on the support structure.

Abstract: A cargo supporting apparatus for use with a support structure includes a framework having an upper frame member having opposed first and second ends and a lower frame member having opposed first and second ends, the first end of the lower frame member being coupled to the first end of the upper frame member. The second end of the lower frame member is selectively coupled to a first location on the support structure. The second end of the upper frame member is selectively coupled to a second location on the support structure.

Abstract: A process for the controlled expansion of a conduit against the walls of a circumscribing structure is disclosed herein. The process generally comprises the steps of applying a radially expansive force to the conduit, while monitoring a variable associated with the elastic and plastic properties of the particular conduit being expanded in order to determine a final swaging force which will complete the expansion process. The process of the invention is particularly useful in eliminating the clearance between heat exchanger tubes and baffle plates in a nuclear reactor, and in sleeving operations wherein an internally inserted sleeve is plastically deformed against a heat exchanger tube in order to affect an interference joint therebetween.

Abstract: An apparatus for expanding a tube against the walls of a circumscribing bore, or a sleeve within a tube to effect an interference joint therebetween, is described herein. The tube expansion apparatus generally comprises a fluid mandrel connected to a hydraulic expansion unit for applying a radially expansive force to the tube or sleeve, and a control circuit electrically connected to the expansion unit and fluidly connected to the mandrel for sensing fluctuations in the pressure of the fluid discharged from the mandrel during the elastic and plastic deformation of the tube or sleeve during the expansion process, computing a final swaging pressure on the basis of these pressure fluctuations, and deactuating the hydraulic expansion unit when this final swaging pressure is attained within the tube or sleeve. The invention is particularly adapted for minimizing or eliminating the clearance between the heat exchange tubes of a nuclear reactor, and the baffle plate bores through which they extend.

Abstract: A mandrel that forms an annular space when inserted within a tube and has O rings adjacent each end and a leading end having a tapered portion and a spring cooperatively associated with the O ring to facilitate sliding the mandrel into the tube and forming a fluid-tight seal adjacent the leading end of the mandrel so that pressurized fluid can be introduced into the annular space to expand the tube into engagement with a tube sheet.