Abstract: A method includes: capturing, via a sensor of a mobile computing device, a first item identifier; determining, at the mobile computing device, whether the first item identifier matches one of a plurality of primary item identifiers; in response to determining that the first item identifier matches one of the primary item identifiers, providing input data to a classification model, the input data including the first item identifier; obtaining, via execution of the classification model, an item set identifier corresponding to an item set containing the first item identifier; and presenting the item set identifier at an output of the mobile computing device.

Abstract: Devices, systems, and methods for weight-based tracking of prepared foods for affecting checkout. The devices, systems, and methods may include detecting, by one or more scale devices, a change in weight of a respective prepared food item stored at each of the one or more scale devices; controlling, by the respective scale device, a first transceiver of the respective scale device to transmit prepared food transaction data to a second transceiver of a user tray; storing, by the user tray, the transmitted prepared food transaction data in a memory slot at the second transceiver of the user tray; repeating the foregoing at each of the one or more scale devices at which a change in weight of a respective prepared food item is detected; and completing, by a transaction processing station, a checkout of the user tray.

Abstract: Systems and methods for method for predicting a required number of point of sale (POS) stations to accommodate a number of customers are disclosed herein. An example method includes analyzing image data to determine (i) a set of customer data and (ii) a cart occupancy value associated with the customers, and generating, utilizing a machine learning (ML) algorithm, a first value based on the set of customer data and the cart occupancy value associated with the customers. The ML algorithm may be trained using a plurality of training data including a plurality of training customer data and a plurality of training cart occupancy values. The example method further includes determining whether the first value exceeds a second value, and responsive to determining that the first value exceeds the second value, generating an alert for transmission to a device indicating that the first value exceeds the second value.

Abstract: Devices, systems, and methods for weight-based tracking and pricing of consumer goods. The devices, systems, and methods may include detecting, by a scale device, a first change in weight of a display area; capturing, by a first imaging camera, a first image featuring the display area; detecting, by one or more processors, a first object in the first image; identifying, by the one or more processors, the first object; associating, by the one or more processors, the detected first change in weight with the identified first object to determine a transaction value associated with the identified first object based upon the detected first change in weight; and displaying, by a display device, a rendition of the display area, the rendition containing a representation of the first object and the transaction value.

Abstract: An autonomous driving system capable of detecting oncoming occluded vehicles is disclosed in low-light conditions. The system captures images which are processed and analyzed to determine bright spots in a region of interest which are related to reflections of an oncoming occluded vehicle. If an oncoming occluded vehicle is detected, the system analyzes the criticality of the situation based on a tunable threshold distance. The tunable threshold distance from the equipped vehicle (vehicle with the autonomous driving system) to the oncoming occluded vehicle. Factors for tuning the threshold distance may include curvature of the road, sharpness of the turn or occluded area, road surface conditions, speed of the equipped vehicle as well as mechanical capabilities of the equipped vehicle. If the situation is critical, the system generates a warning signal indicating a hazardous condition.

Abstract: A system and method of indexing documents to support frequent field updates without reindexing may include receiving, from an indexing application, first fields from a document to be indexed. The method may also include receiving, from the indexing application, second fields from the document to be indexed. The first fields are to an index file associated with the indexing application. The index file comprises a directory wrapper around at least a portion of a file system for the indexing application, wherein the wrapper (i) provides indications of when the in-memory file is flushed to the file system, and (ii) controls synchronization of the file system and a data store. The method may further include writing the second fields to a reverse index.

Abstract: A system and method of indexing documents to support frequent field updates without reindexing may include receiving, from an indexing application, first fields from a document to be indexed. The method may also include receiving, from the indexing application, second fields from the document to be indexed. The first fields are to an index file associated with the indexing application. The index file comprises a directory wrapper around at least a portion of a file system for the indexing application, wherein the wrapper (i) provides indications of when the in-memory file is flushed to the file system, and (ii) controls synchronization of the file system and a data store. The method may further include writing the second fields to a reverse index.

Abstract: A method of indexing documents to support frequent field updates without reindexing may include receiving, from an indexing application, first fields from a document to be indexed. The method may also include receiving, from the indexing application, second fields from the document to be indexed. The method may additionally include writing the first fields to an index file associated with the indexing application. The method may further include writing the second fields to a datastore that is external to the indexing application.

Abstract: A method of indexing documents to support frequent field updates without reindexing may include receiving, from an indexing application, first fields from a document to be indexed. The method may also include receiving, from the indexing application, second fields from the document to be indexed. The method may additionally include writing the first fields to an index file associated with the indexing application. The method may further include writing the second fields to a datastore that is external to the indexing application.