Abstract: Examples provide customized augmented reality item filtering. An item filter analyzes item data using selection criteria and user preferences to identify high-interest item(s) and/or low-interest item(s) within a field of view (FOV) of a user device associated with a user. A high-interest item can include an item physically present within a portion of an item selection area or an un-stocked item not physically present within the portion of the item selection area. An augmented reality (AR) generator creates an AR image including a real-world image of the portion of the item selection area overlaid with graphical elements, including positive item indicators associated with high-interest items, negative item indicators associated with low-interest items, and/or un-stocked virtual items. The AR image is updated in real-time in response to user input, promotional data associated with one or more filtered item(s), and/or changes associated with the items within the FOV of the user device.

Abstract: Examples provide customized augmented reality item filtering. An item filter analyzes item data using selection criteria and user preferences to identify high-interest item(s) and/or low-interest item(s) within a field of view (FOV) of a user device associated with a user. A high-interest item can include an item physically present within a portion of an item selection area or an un-stocked item not physically present within the portion of the item selection area. An augmented reality (AR) generator creates an AR image including a real-world image of the portion of the item selection area overlaid with graphical elements, including positive item indicators associated with high-interest items, negative item indicators associated with low-interest items, and/or un-stocked virtual items. The AR image is updated in real-time in response to user input, promotional data associated with one or more filtered item(s), and/or changes associated with the items within the FOV of the user device.

Abstract: Examples provide customized augmented reality item filtering. An item filter analyzes item data using selection criteria and user preferences to identify high-interest item(s) and/or low-interest item(s) within a field of view (FOV) of a user device associated with a user. A high-interest item can include an item physically present within a portion of an item selection area or an un-stocked item not physically present within the portion of the item selection area. An augmented reality (AR) generator creates an AR image including a real-world image of the portion of the item selection area overlaid with graphical elements, including positive item indicators associated with high-interest items, negative item indicators associated with low-interest items, and/or un-stocked virtual items. The AR image is updated in real-time in response to user input, promotional data associated with one or more filtered item(s), and/or changes associated with the items within the FOV of the user device.

Abstract: Examples provide transaction validation through currency verification via computer vision and machine learning performed on images of non-currency and currency items from image capture devices associated with a currency environment. The results may be delivered by augmented reality (AR). Automation of currency verification and transaction validation during a transaction concludes the transaction more efficiently than manual verification and validation, increasing the amount of transactions per unit time. Examples using AR features can verify currency tendered and change made in real-time and identify foreign and counterfeit currency for removal. Examples incorporating AR features increase efficiency for fully-sighted providers and customers, while utilizing audio or braille output accommodates the visually impaired. Examples may indicate both what types and amounts of currency must be requested or discarded.

Abstract: Examples provide customized augmented reality item filtering. An item filter analyzes item data using selection criteria and user preferences to identify high-interest item(s) and/or low-interest item(s) within a field of view (FOV) of a user device associated with a user. A high-interest item can include an item physically present within a portion of an item selection area or an un-stocked item not physically present within the portion of the item selection area. An augmented reality (AR) generator creates an AR image including a real-world image of the portion of the item selection area overlaid with graphical elements, including positive item indicators associated with high-interest items, negative item indicators associated with low-interest items, and/or un-stocked virtual items. The AR image is updated in real-time in response to user input, promotional data associated with one or more filtered item(s), and/or changes associated with the items within the FOV of the user device.

Abstract: Systems, methods, and machine readable medium are provided for improving access to electronic data. An application is provided that generates a graphical user interface on a first client device requesting the server-based application via a web browser on the first client device. Credentials from a user of the first client device. After authorization of the user credentials, input from the user is received via the graphical user interface indicating an URL for a website, a file path for a document, and text. The entered input is stored in a local browser cache on the first client device and in a remotely-located database as being associated with the user credentials. Subsequently, a display is generated on the first client device, by the application, of electronic data related to the entered input.

Abstract: Systems, methods, and machine readable medium are provided for improving access to electronic data. An application is provided that generates a graphical user interface on a first client device requesting the server-based application via a web browser on the first client device. Credentials from a user of the first client device. After authorization of the user credentials, input from the user is received via the graphical user interface indicating an URL for a website, a file path for a document, and text. The entered input is stored in a local browser cache on the first client device and in a remotely-located database as being associated with the user credentials. Subsequently, a display is generated on the first client device, by the application, of electronic data related to the entered input.

Abstract: Embodiments relate to augmented reality-assisted (AR-assisted) product modular arrangement systems and methods for setting up retail spaces and displays and arranging and stocking products thereon. The AR-assisted system can comprise an AR device, such as a headset, glasses, or mobile device, that guides a user through locating, setting up and arranging a retail display, such as a shelf, modular, rack or other physical area. In embodiments, the AR device can be used hands free. The AR device is in communication with a product database from which the AR device receives data, images and other information used in guiding the user through locating, setting up, arranging, auditing and other tasks involved in product modular arrangement.

Abstract: Systems, methods, and machine readable medium are provided for improving access to electronic data. An application is provided that generates a graphical user interface on a first client device requesting the server-based application via a web browser on the first client device. Credentials from a user of the first client device. After authorization of the user credentials, input from the user is received via the graphical user interface indicating an URL for a website, a file path for a document, and text. The entered input is stored in a local browser cache on the first client device and in a remotely-located database as being associated with the user credentials. Subsequently, a display is generated on the first client device, by the application, of electronic data related to the entered input.