Abstract: Systems and methods provide for intelligently switching between cloud processing mode and edge processing mode based on a variety of criteria, such as the desired eye-tracker settings (e.g., minimum tracker rate, ideal tracker rate, and processing mode) and the available network capabilities (e.g., latency, bandwidth, and the like). The criteria used for determining whether buffered cloud processing is viable include such parameters as upload bandwidth, tolerable processing delay, buffer drain rate, buffer fill rate, and maximum session duration. The cloud processing system may be used instead of available edge processing in cases where there are benefits to doing so, e.g., the cloud processing system provides added functionality, such as improved data analytics.

Abstract: A battery powered welding system is provided. In one welding system a battery powered welder includes control circuitry configured to control a welding power output converted from power from an external battery power source. The battery powered welder also includes a wire drive assembly coupled to the control circuitry and configured to feed a welding wire using power from the external battery power source. The battery powered welder includes a case integrally supporting and enclosing the control circuitry and the wire drive assembly. The case is not configured to enclose the external battery power source.

Abstract: An item return transaction for an item is identified at a transaction terminal. The item is authenticated using multiple factors at least some of which are independent of item code identification for the item. A fraud score is calculated based on the multiple factors, item code identification, and data that is specific to a customer associated with the transaction, specific to the item, specific to a store associated with the transaction terminal, and specific to a retailer associated with the store. The fraud score and a customer-return grade for the customer are processed to determine whether the transaction can complete at the terminal without assistance or whether the transaction is to be held in abeyance for an audit (onsite audit or remote network-based audit). In an embodiment, the t terminal is a Self-Service Terminal (SST) and the transaction is a self-item return transaction conducted by a customer at the terminal.

Abstract: The present disclosure relates to the use of occluding fluids, such as a high-density fluid (a “z-fluid”) or a low-density fluid (an “a-fluid”), to displace resin within a vat during 3D printing. Further, an a-fluid may act as a protective boundary for a 3D printing resin wherein the a-fluid sits on top of the printing resin. Another embodiment of the disclosure provides a process of assessing which regions of a computer-aided design (CAD) model take advantage of a buoying force supplied by the occluding fluid, such that fewer support structures are needed for printing a final CAD model compared to printing the CAD model without the occluding fluid.

Abstract: Payment card slot tampering at a transaction terminal is detected in real time. One or more images from one or more cameras are analyzed. The camera(s) is/are focused overhead of the terminal on an area adjacent to and in front of a card slot for a card reader of the terminal. The images are analyzed for determining whether hands of arms for an operator of the terminal are performing actions that indicate the operator may be attempting to install a card skimmer/shimmer into the card slot and/or attempting to remove an existing skimmer/shimmer from the card slot. When card slot tampering event is detected at the terminal a variety of automated actions are processed, such as shutting down the card reader, shutting down the terminal, confiscating any payment card inserted into the card slot, notifying a financial institution, and/or notifying legal authorities.

Abstract: Visual features of a vehicle, a vehicle's orientation with respect to a transaction terminal, and an individual associated with the vehicle are derived from video captured of the terminal and a surrounding area of the terminal. Additional information associated with brute force attacks in a location associated with the terminal are obtained as additional features. The visual features and the additional features are provided as input to a trained Machine-Learning Model (MLM) and the MLM provides as output a confidence value representing a prediction as to whether the current vehicle and the current individual are potentially about to engage in a brute force attack on the terminal. When the confidence value exceeds a threshold value, enhanced feature detection is enabled on the video, external systems are notified, and an incident packet of information is assembled.

Abstract: The present disclosure relates to the use of occluding fluids, such as a high-density fluid (a “z-fluid”) or a low-density fluid (an “a-fluid”), to displace resin within a vat during 3D printing. Further, an a-fluid may act as a protective boundary for a 3D printing resin wherein the a-fluid sits on top of the printing resin. Another embodiment of the disclosure provides a process of assessing which regions of a computer-aided design (CAD) model take advantage of a buoying force supplied by the occluding fluid, such that fewer support structures are needed for printing a final CAD model compared to printing the CAD model without the occluding fluid.

Abstract: A battery powered welding system is provided. In one welding system a battery powered welder includes control circuitry configured to control a welding power output converted from power from an external battery power source. The battery powered welder also includes a wire drive assembly coupled to the control circuitry and configured to feed a welding wire using power from the external battery power source. The battery powered welder includes a case integrally supporting and enclosing the control circuitry and the wire drive assembly. The case is not configured to enclose the external battery power source.

Abstract: Systems and methods provide for intelligently switching between cloud processing mode and edge processing mode based on a variety of criteria, such as the desired eye-tracker settings (e.g., minimum tracker rate, ideal tracker rate, and processing mode) and the available network capabilities (e.g., latency, bandwidth, and the like). The criteria used for determining whether buffered cloud processing is viable include such parameters as upload bandwidth, tolerable processing delay, buffer drain rate, buffer fill rate, and maximum session duration. The cloud processing system may be used instead of available edge processing in cases where there are benefits to doing so, e.g., the cloud processing system provides added functionality, such as improved data analytics.

Abstract: An metal fabrication resource performance monitoring method includes: acquiring data representative of a plurality of parameters sampled during metal fabrication operations of a plurality of metal fabrication resources, the parameters comprising arc on time and wire deposition quantity; via at least one computer processor, analyzing a first subset of the acquired data and a second subset of the acquired data for the plurality of metal fabrication resources; via the at least one computer processor, populating a user viewable page with graphical indicia representative of at least the arc on time and the wire deposition quantity, the user viewable page facilitating a visual comparison of the analysis of the first subset of the acquired data and the analysis of the second subset of the acquired data; and transmitting the user viewable dashboard page to a user viewable display.

Abstract: A metal fabrication resource performance monitoring method includes collecting data representative of a parameter sampled during one or more metal fabrication operations of one or more metal fabrication resources, the one or more resources being selectable by a user from a listing of individual and groups of resources, receiving event data comprising a time that an event occurred, via at least one computer processor, determining a first analyzed system parameter from the collected data, via the at least one computer processor, populating a dashboard page with graphical indicia representative of the first analyzed system parameter before and after the event, and transmitting the dashboard page to a user-viewable display.

Abstract: A battery powered welding system is provided. In one welding system a battery powered welder includes control circuitry configured to control a welding power output converted from power from an external battery power source. The battery powered welder also includes a wire drive assembly coupled to the control circuitry and configured to feed a welding wire using power from the external battery power source. The battery powered welder includes a case integrally supporting and enclosing the control circuitry and the wire drive assembly. The case is not configured to enclose the external battery power source.

Abstract: A battery powered welding system is provided. In one welding system a battery powered welder includes control circuitry configured to control a welding power output converted from power from an external battery power source. The battery powered welder also includes a wire drive assembly coupled to the control circuitry and configured to feed a welding wire using power from the external battery power source. The battery powered welder includes a case integrally supporting and enclosing the control circuitry and the wire drive assembly. The case is not configured to enclose the external battery power source.

Abstract: An metal fabrication resource performance monitoring method includes: acquiring data representative of a plurality of parameters sampled during metal fabrication operations of a plurality of metal fabrication resources, the parameters comprising arc on time and wire deposition quantity; via at least one computer processor, analyzing a first subset of the acquired data and a second subset of the acquired data for the plurality of metal fabrication resources; via the at least one computer processor, populating a user viewable page with graphical indicia representative of at least the arc on time and the wire deposition quantity, the user viewable page facilitating a visual comparison of the analysis of the first subset of the acquired data and the analysis of the second subset of the acquired data; and transmitting the user viewable dashboard page to a user viewable display.

Abstract: An metal fabrication resource performance monitoring method includes: acquiring data representative of arc on time and wire deposition quantity associated with metal fabrication operations of a plurality of metal fabrication resources; via at least one computer processor, analyzing a first subset of the acquired data and a second subset of the acquired data for the plurality of metal fabrication resources; via the at least one computer processor, populating a user viewable page with graphical indicia representative of at least the arc on time and the wire deposition quantity, the user viewable page facilitating a visual comparison of the analysis of the first subset of the acquired data and the analysis of the second subset of the acquired data; and transmitting the user viewable page to a user viewable display.

Abstract: An metal fabrication resource performance monitoring method includes: acquiring data representative of a plurality of parameters sampled during metal fabrication operations of a plurality of metal fabrication resources, the parameters comprising arc on time and wire deposition quantity; via at least one computer processor, analyzing a first subset of the acquired data and a second subset of the acquired data for the plurality of metal fabrication resources; via the at least one computer processor, populating a user viewable page with graphical indicia representative of at least the arc on time and the wire deposition quantity, the user viewable page facilitating a visual comparison of the analysis of the first subset of the acquired data and the analysis of the second subset of the acquired data; and transmitting the user viewable dashboard page to a user viewable display.

Abstract: An metal fabrication resource performance monitoring method includes: acquiring data representative of arc on time and wire deposition quantity associated with metal fabrication operations of a plurality of metal fabrication resources; via at least one computer processor, analyzing a first subset of the acquired data and a second subset of the acquired data for the plurality of metal fabrication resources; via the at least one computer processor, populating a user viewable page with graphical indicia representative of at least the arc on time and the wire deposition quantity, the user viewable page facilitating a visual comparison of the analysis of the first subset of the acquired data and the analysis of the second subset of the acquired data; and transmitting the user viewable page to a user viewable display.

Abstract: An metal fabrication resource performance monitoring method includes: acquiring data representative of a plurality of parameters sampled during metal fabrication operations of a plurality of metal fabrication resources, the parameters comprising arc on time and wire deposition quantity; via at least one computer processor, analyzing a first subset of the acquired data and a second subset of the acquired data for the plurality of metal fabrication resources; via the at least one computer processor, populating a user viewable page with graphical indicia representative of at least the arc on time and the wire deposition quantity, the user viewable page facilitating a visual comparison of the analysis of the first subset of the acquired data and the analysis of the second subset of the acquired data; and transmitting the user viewable dashboard page to a user viewable display.

Abstract: A metal fabrication resource performance monitoring method, includes accessing data representative of a parameter sampled during a metal fabrication operation of a metal fabrication resource, the resource being selectable by a user from a listing of individual and groups of resources. Via at least one computer processor, the accessed parameter is processed to determine an analyzed system parameter, and a user viewable dashboard page is populated with graphical indicia representative of the analyzed system parameter, and transmitted the user viewable dashboard page to a user.