Abstract: A platform for data collection and annotation is disclosed. The systems and methods herein describe a system that can receive vision data from a plurality of heterogenous sources and store this vision data in a common datastore. The vision data is then processed (for example, prioritized and annotated) at common applications, while security and access rights features are maintained. Machine learning models for annotation are trained in such a way as to generate an efficient and accurate model, while ensuring that manual annotation costs remain below a set budget.

Abstract: A storage container includes: a plurality of sidewalls; a bottom wall operably coupled to the plurality of sidewalls, together defining a storage cavity; at least one support bracket coupled to the bottom wall, movable between a first position wherein an outer surface of at least one support bracket is flush with a perimeter of the bottom wall, and a second position wherein the outer surface of the at least one support bracket extends beyond the perimeter; and a plurality of guide walls extending parallel to one another and formed adjacent to the at least one support bracket that guide the movement of the at least one support bracket between the first position and second the position.

Abstract: The disclosed technology provides for preparing items for packaging and shipping at a fulfillment location. A method can include receiving, using a user computing device, item information about an item, where the user computing device is configured to receive item information about a plurality of items via a server; transmitting, using the user computing device, the item information to a remote computing device, where the remote computing device is a remote database configured to store information about the plurality of items via the server; obtaining, using the remote computing device, item preparation instructions; receiving, using the user computing device, the item preparation instructions from the remote computing device; and outputting, using the user computing device, the item preparation instructions.

Abstract: A system and method for efficiently serving personalized offer content across digital platforms through a unified content architecture are provided. The system includes a data repository storing single-instance content elements and a server system that dynamically serves offer stories while performing real-time eligibility verification. The server system maintains a unified content pool, enabling automatic adaptation of content across different channels while reducing computational resource usage through consolidated storage. The system performs real-time eligibility checks through integration with loyalty services, dynamically collapses offer slots when users are ineligible, and automatically updates offer visibility based on eligibility changes. The system enables querying and serving of content while supporting real-time updates to display manner as user behavior and eligibility changes.

Abstract: A garment is described for covering a torso and a portion of a lower body of a user when the user wears the garment body. The garment includes a front panel and a rear panel coupled to the front panel forming a cavity therebetween to receive the torso and the portion of the lower body. The rear panel defines an exterior surface facing away from the front panel and an interior surface facing toward the front panel. The interior surface is divided into a top section and a bottom section, the top section is configured to at substantially align with the torso, and the bottom section is configured to substantially align with the portion of lower body. The top section is defined by a first lining material, and the bottom section is defined by a second lining material having a greater coefficient of friction than the first lining material.

Abstract: Described herein are systems and methods for generating a watch list of users who pose specific security threats to a store. The method can include retrieving, by a computer system from a data store, case files that document activity that poses a security threat by a user at the store, predicting, based on applying prediction models to the case files, future activity associated with the case files, determining threat scores for the case files based on the predicted future activity, ranking the case files into a candidate list from highest to lowest threat score, generating a watch list for the store that includes a subset of the ranked case files based on which case files pose a greatest current threat to the store, generating summary videos for each case file in the watch list, and transmitting the watch list and summary videos to a user device.

Abstract: In some implementations, a method performed by data processing apparatuses includes receiving, by an item verification engine, a scan notification indicating that a mobile computing device has scanned an item. In response to receiving the scan notification, the item verification engine provides an instruction for a cart computing system to activate item sensors on a shopping cart. The item verification engine receives sensor data collected by the item sensors as a result of the item having been placed in the shopping cart. The item verification engine receives item verification data for verifying the scanned item from the mobile computing device, performs a verification of the item based on the sensor data and the item verification data, and provides verification results for presentation by the mobile computing device.

Abstract: A system includes a deployment server configured to receive an instruction to deploy software from an entity and in response to the instruction to deploy software, calling an application interface to request a new cryptographic certificate. An application server is configured to execute the application interface to receive the request for the new cryptographic certificate and in response to the request, obtain the new cryptographic certificate. A secure digital vault is configured to receive the new cryptographic certificate wherein the entity is not allowed to access the secure digital vault.

Abstract: In some implementations, a computer-implemented method verifies item placed in physical shopping carts, using location data. An item verification engine receives an item scanned notification indicating that a mobile computing device has scanned an item, an item sensed notification indicating that a cart computing system has sensed the item being added to a shopping cart, item verification data that specifies an expected location of the scanned item, and actual location data that represents an actual location of the item in the retail environment. After receiving the item scanned notification, the item sensed notification, the item verification data, and the actual location data, a verification of the item is performed based at least in part on the item verification data and the actual location data. The item verification engine provides verification results based on performing the verification of the item, for receipt by the mobile computing device.

Abstract: The present disclosure relates to a fixture overlay algorithm that identifies the out-of-stock product by relying on shelf fixture start and end coordinate data points on an image to map the captured image to pre-existing planogram data. The present fixture overlay disclosure detects the start and stop shelf fixture positions for each of the shelves within the shelf image and uses the detected shelf fixture points to map the shelf image to the planogram coordinates in order to determine the identity of the out-of-stock product.

Abstract: A method includes receiving a first post from an electronic source including first content; determining a source identifier; determining an attribute for the source by broadcasting the first post to a first plurality of filter graph definitions configured to identify attributes of sources according to the respective filter graph definition; and storing in memory, as a source profile identified by the source identifier for the source, the attribute for the source; receiving a second post from the source including second content; determining a source identifier; using the source identifier, querying the memory to access the source profile; correlating the second post with attributes of the source stored in the source profile to produce a correlated second post; and broadcasting the correlated second post to a second plurality of filter graph definitions configured to identify posts with high value information according to the respective filter graph definition.

Abstract: Disclosed combinable gift card components for a gift card purchase. A gift card can include a card component having a front surface, a back surface, a window, and a first identifier, and a secure insert component having: a secure insert portion with a second identifier, teeth at a leading edge of the secure insert component to mate with corresponding teeth of a middle layer of the card component for fixed alignment of the secure insert component inside the card component, an adhesive-resistant covering that can fold over the secure insert portion to hide the second identifier before the secure insert component is inserted into the card component, and a tab affixed to an end of the adhesive-resistant covering that can be pulled to cause the adhesive-resistant covering to unfold out from inside the card component to reveal the second identifier through the window.