Abstract: Methods and system for providing enhanced visual accessibility at self-service terminals (SSTs) through an improved user interface (UI) on-screen magnifier. The magnifier includes an extra-thick border for dragging from any edge and prevents the magnifier from being fully dragged off-screen. The magnifier's size and zoom level are configurable based on locale settings and language requirements. When activated through an accessibility menu of a transaction UI for a terminal, the magnifier initially appears centered on the screen and maintains native UI resolution scaling for magnified content. Usage metrics are captured to identify interface accessibility challenges and make user experience UI improvements. The magnifier's border thickness, lens size, and zoom level can be customized through configuration settings to accommodate different languages and regional preferences. Touch inputs are remapped at the application level to properly interact with magnified content.

Abstract: Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media that support relevance-based analysis and filtering of documents and media for one or more enterprises. Aspects disclosed herein leverage custom-built taxonomies, natural language processing (NLP), and machine learning (ML) for identifying and extracting features from highly-relevant documents. The extracted features are vectorized and then filtered based on entities (e.g., enterprises, organizations, individuals, etc.) and compliance-based risks (e.g., illegal or non-compliant activities) that are highly relevant to a particular client. The filtered feature vectors are used to identify and highlight relevant information in the corresponding documents, enabling decision making to resolve compliance-related risks. The aspects described herein generate fewer false positive or otherwise less relevant results than conventional document screening applications or manual techniques.

Abstract: Methods and a system for personalizing accessibility in retail environments use facial recognition to identify customers at self-checkout terminals. Upon recognition, the system retrieves the customer's pre-registered accessibility profile from a cloud-based loyalty solution. This profile contains customized settings for various disabilities and sensitivities. The self-checkout terminal automatically configures its interface based on the retrieved profile, adjusting visual elements, audio features, and other accessibility settings to meet the customer's specific needs. This approach eliminates the need for manual activation of accessibility features, creating a seamless and inclusive shopping experience. The system includes privacy safeguards through an opt-in process and can adapt over time by learning from customer interactions and suggesting additional accessibility settings.

Abstract: Customers of a software platform, such as a unified communications as a service platform, are enabled to control their own encryption keys used to encrypt and decrypt data from various communication services in the software platform. A key broker server is employed to map encryption and decryption requests from servers in the platform to key management servers of customers based on user identifiers. Examples of data encrypted may includes conference recordings, webinar recordings, phone call recordings, voicemails, emails, and calendar tokens.

Abstract: A self-service checkout system forwards output images from a set of cameras having a predefined field of view focused on a checkout tray to a machine learning model trained to identify packaged items and suggested produce items. The machine learning model determines that an item on the checkout tray is a produce item or one or more packaged items. When the item is one or more packaged items, an identification of each of the one or more packaged items is received from the machine learning model and the identification thereof is added to a list of items to be purchased. When the item is a produce item, a list of suggested produce items is received from the machine learning model, the list of suggested produce items is provided to the user, and, when the user selects an item from the list, the selected produce item is added to the list.

Abstract: An innovative retail checkout system utilizes radio frequency identification (RFID) technology to enhance security and streamline the shopping experience. Customers use RFID stickers linked to their loyalty accounts and attach them to items they wish to buy. Items are then collected by automated pickers, either human or robotic, and are pre-bagged for pickup. At self-checkout terminals, customers review, delete any unwanted items, add any desired new items, and pay for their items. Post-payment, customers receive a receipt or barcode on their phone, granting access to a secure pickup area. Here, customers reshow their code to retrieve their pre-bagged purchases. This system ensures that customers only handle or possess items after payment, significantly reducing theft opportunities. The integration of RFID tags not only secures transactions but also facilitates efficient item tracking and inventory management, enhancing the overall shopping experience and promoting the use of loyalty programs.

Abstract: An innovative retail checkout system utilizes radio frequency identification (RFID) technology to enhance security and streamline the shopping experience. Customers use RFID stickers linked to their loyalty accounts and attach them to items they wish to buy. Items are then collected by automated pickers, either human or robotic, and are pre-bagged for pickup. At self-checkout terminals, customers review, delete any unwanted items, add any desired new items, and pay for their items. Post-payment, customers receive a receipt or barcode on their phone, granting access to a secure pickup area. Here, customers reshow their code to retrieve their pre-bagged purchases. This system ensures that customers only handle or possess items after payment, significantly reducing theft opportunities. The integration of RFID tags not only secures transactions but also facilitates efficient item tracking and inventory management, enhancing the overall shopping experience and promoting the use of loyalty programs.

Abstract: An apparatus for managing fluid from a tissue site may include a first layer and a second layer. The first layer may comprise a first end, a second end, a first surface, a thickness between the first surface and the second surface, a first fluid pathway disposed in the first surface, and a second fluid pathway disposed in the first surface. The first fluid pathway and the second fluid pathway can extend from the first end to the second end. The second layer may have a first end, a second end, a first surface, and a second surface. The second surface of the second layer can be coupled to the first surface of the first layer.

Abstract: A transaction terminal includes at least one top-down camera, side cameras, and at least one barcode scanner. Images captured by the cameras are processed by one or more computer vision applications for purposes of counting items placed on a tray of the terminal during a checkout. Each item is associated with a bounding box or region of the tray within the images. The computer vision applications and scanner are polled to provide a region identifier, a barcode, and a confidence value for each item on the tray. Duplicated item barcodes are removed and barcodes with the highest confidence values are retained. The final item barcodes are provided to a transaction manager of the terminal to complete the self-checkout with a customer at the terminal.

Abstract: Videos depicting products are analyzed to uniquely identify the products by frame within each video and to uniquely identify non-product objects by frame within each video. Based on the analysis each video is tagged with product codes and non-product identifiers. Based on the non-product identifiers, each video is further classified by persona. During a checkout of a customer, a recommendation service provides recommended products that the customer is believed to be interested in purchasing. The recommended products and known personas of the customer are used to generate a video playlist for the checkout, each video including at least one of the recommended products presented within the video in a known persona context. A video from the playlist is selected and played within a screen on a display to the customer during the checkout. The screen is a screen not being used by a transaction user interface for the checkout.

Abstract: An apparatus for managing fluid from a tissue site may include a first layer and a second layer. The first layer may comprise a first end, a second end, a first surface, a thickness between the first surface and the second surface, a first fluid pathway disposed in the first surface, and a second fluid pathway disposed in the first surface. The first fluid pathway and the second fluid pathway can extend from the first end to the second end. The second layer may have a first end, a second end, a first surface, and a second surface. The second surface of the second layer can be coupled to the first surface of the first layer.

Abstract: A self-service checkout terminal for vision-based checkout includes a computing device having a processor and a memory. A camera coupled to the computing device has a predefined field of view focused on a scan zone and provides a video output signal of the scan zone to the computing device. A checkout tray has a tactile surface formed from a predefined number of rows and a predefined number of columns of raised dot. The checkout tray is positioned within the scan zone. The processor processes the video output signal from the camera to attempt to identify an item placed on the checkout tray by a user during a transaction, provides a description of the item to the user via the user interface when the item is identified, and provides the user of an indication of a location of the item via a user interface when the item is not identified.

Abstract: A unified item recognition driver is presented. The driver manages a plurality of disparate item scanning capable peripheral devices of a transaction terminal and computer vision item recognition applications on behalf of a transaction manager of the terminal. The driver prioritizes item codes provided by the devices and applications to select a highest ranked item code for any given item of a transaction. The item codes are provided to the transaction manager of the terminal to complete the transaction. In an embodiment, the driver searches online to resolve an item code when the peripherals and applications fail to resolve the item code for any given item.

Abstract: A transaction terminal includes at least one top-down camera, side cameras, and at least one barcode scanner. Images captured by the cameras are processed by one or more computer vision applications for purposes of counting items placed on a tray of the terminal during a checkout. Each item is associated with a bounding box or region of the tray within the images. The computer vision applications and scanner are polled to provide a region identifier, a barcode, and a confidence value for each item on the tray. Duplicated item barcodes are removed and barcodes with the highest confidence values are retained. The final item barcodes are provided to a transaction manager of the terminal to complete the self-checkout with a customer at the terminal.

Abstract: Methods and systems for content consumption management and determining gaming and wagering opportunities based thereon are described. As a user consumes content, a content history may be determined. One or more supplemental features, such as a series of gaming or wagering opportunities, may be determined and sent to a user device based on the content consumption history.

Abstract: Methods and systems for content management are described. Live events and supplemental features associated therewith may be sent to viewers. A delta between the live event occurring and the live event being output to the viewers may be determined. Depending on the delta, the supplemental features may be authorized or unauthorized for presentation to the viewers.

Abstract: A self-service checkout system includes a processor and a non-transitory computer-readable storage medium storing executable instructions. The executable instructions when executed by the processor cause the processor to perform operations including: receiving a message from a vision system that includes a list of identified items on a tray positioned adjacent to the vision system for a current transaction and one or more issues related to an identification of the items on the tray, processing the message to identify the one or more issues related to the identification of the items on the tray, providing a user interface for a customer to correct the one or more issues related to the identification of the items on the tray, and completing the current transaction once the issues related to the identification of the items on the tray are corrected.

Abstract: An apparatus for managing fluid from a tissue site may include a first layer and a second layer. The first layer may comprise a first end, a second end, a first surface, a thickness between the first surface and the second surface, a first fluid pathway disposed in the first surface, and a second fluid pathway disposed in the first surface. The first fluid pathway and the second fluid pathway can extend from the first end to the second end. The second layer may have a first end, a second end, a first surface, and a second surface. The second surface of the second layer can be coupled to the first surface of the first layer.

Abstract: Customers of a software platform, such as a unified communications as a service platform, are enabled to control their own encryption keys used to encrypt and decrypt data from various communication services in the software platform. A key broker server is employed to map encryption and decryption requests from servers in the platform to key management servers of customers based on user identifiers. Examples of data encrypted may includes conference recordings, webinar recordings, phone call recordings, voicemails, emails, and calendar tokens.

Abstract: Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media that support relevance-based analysis and filtering of documents and media for one or more enterprises. Aspects disclosed herein leverage custom-built taxonomies, natural language processing (NLP), and machine learning (ML) for identifying and extracting features from highly-relevant documents. The extracted features are vectorized and then filtered based on entities (e.g., enterprises, organizations, individuals, etc.) and compliance-based risks (e.g., illegal or non-compliant activities) that are highly relevant to a particular client. The filtered feature vectors are used to identify and highlight relevant information in the corresponding documents, enabling decision making to resolve compliance-related risks. The aspects described herein generate fewer false positive or otherwise less relevant results than conventional document screening applications or manual techniques.