Abstract: Examples provide a method and system for customized item decanting. A decant manager, implemented on a processor, identifies a destination tote in a set of totes for placement of a selected item. The decant manager controls a robotic decanting device to remove the selected item from a selected case and places the selected item into the destination tote. The decant manager analyzes sensor data and item data associated with the selected item to confirm an identification of the selected item placed into the destination tote for inventory update.

Abstract: This application relates to automated processes for determining item placement compliance within retail locations. For example, a computing device may obtain an image of a fixture within a store. The image may be captured by a camera with a field of view directed at the fixture. The computing device may apply a segmentation process to the image to determine a portion of the image. Further, the computing device may determine a correlation between the portion of the image and each of a plurality of item image templates. Each item image template may include an image of an item the retail location sells in the retail location. The computing device may determine, based on the correlations, one of the plurality of item image templates and its corresponding item. The computing device may then determine whether the item should be located at the fixture based on a planogram.

Abstract: A method including pre-screening one or more second images from a database for a search result based on one or more substring distances between one or more first binary substrings for a first image and one or more second binary substrings for the one or more second images, comprises: determining the one or more substring distances between one or more substring pairs of the one or more first binary substrings and the one or more second binary substrings of the one or more second images, and upon determining that the one or more substring distances and the one or more second binary substrings are not greater than one or more substring distance thresholds, including the one or more second images in the search result. The method further can include after pre-screening, determining one or more image distances for one or more third images of the search result.

Abstract: A ball spline with detour tracks includes spline shaft, nut part movable along a longitudinal direction of the spline shaft, and balls between the nut part and the spline shaft, wherein the nut part includes nut adapted to insert the spline shaft thereinto and retainers on longitudinal sides of the nut, the spline shaft includes tracks extended along the longitudinal direction, the nut includes load track grooves formed in longitudinal direction on inner peripheral surface into which the spline shaft is inserted and non-load circulating portions formed in the longitudinal direction, each retainer includes circulating grooves on the inner peripheral surface to face the load track groove and non-load circulating portion, the balls run between the tracks and the load track grooves, and each track includes track groove formed in longitudinal direction of the spline shaft and detour tracks whose longitudinal sides are connected to the track groove.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to determining if sensitive data has been exposed externally. In some embodiments, a system for determining if sensitive data has been exposed externally comprises an external database including a plurality of external repositories, an internal database including a plurality of internal repositories, an internal catalog including search candidates, and a control circuit configured to receive hash search results based on a hash search query to the external database, determine which repositories in the subject group of repositories includes an expression, generate a notification, and transmit the notification.

Abstract: A ripening schedule for produce is created and the ripening schedule when implemented at a ripening chamber is effective to control the environmental conditions and the time spent in the ripening chamber by the produce in order to conform ripening conditions of the produce to the target shipping date. The ripening schedule is applied to control ripening conditions in the ripening chamber.

Abstract: There are provided systems and methods relating to assembling unpacked merchandise in containers. In one form, the system includes an order of merchandise items to be assembled in containers, and a predetermined set of containers defining different sizes and including at least two different types of containers. The system also includes a control circuit configured to: receive notification of the order, select a first type of container, determine a first subset of the plurality of merchandise items to be received in the selected type of container, select a size of the selected type of container to receive the first subset of merchandise items, and instruct the disposition of the first subset of merchandise items within the selected type and size of container.

Abstract: An optimal package structure and an amount of refrigerant to insert into the package structure are determined based upon product information, consumer preference information, and weather information. The optimal package structure and the amount of refrigerant are an optimized combination that is effective to both protect the product from damage and preserve the product from spoilage. A package is constructed to contain the product according to the optimal package structure and the amount of refrigerant is inserted into the structure.

Abstract: A system for verifying a machine-readable label comprises a scan table processing device comprising a first input for receiving a list of items with machine-readable labels; a second input for receiving a list of stores that have an inventory of the items in the list of items and that have at least one sensing device for capturing images of the items; and an output that includes a plurality of electronic records. The system further comprises a data repository that stores the captured images of the items and that updates the electronic records to include an association to the captured images; a graphical user interface (GUI) processing apparatus that modifies the captured images in preparation for training an artificial intelligence apparatus to identify the items in the images; and a machine language (ML) model processor that determines whether the images training the artificial intelligence apparatus are correctly identified with machine-readable labels associated with the items.

Abstract: Methods and apparatuses are provided for use in monitoring product placement within a shopping facility. Some embodiments provide an apparatus configured to determine product placement conditions within a shopping facility, comprising: a transceiver configured to wirelessly receive communications; a product monitoring control circuit coupled with the transceiver; a memory coupled with the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to: obtain a composite three-dimensional (3D) scan mapping corresponding to at least a select area of the shopping facility and based on a series of 3D scan data; evaluate the 3D scan mapping to identify multiple product depth distances; and identify, from the evaluation of the 3D scan mapping, when one or more of the multiple product depth distances is greater than a predefined depth distance threshold from the reference offset distance of the product support structure.

Abstract: A deployment system can include a computing device that is configured to receive a broadcast message from a deployment device in response to the deployment device receiving an approval notification and obtain a plurality of deployment parameters via a distributed communications system. The computing device can also be configured to identify an installation time included in the plurality of deployment parameters and download application data associated with an application identifier included in the plurality of deployment parameters to a local database. The computing device can also be configured to initiate an installation of the application data from the local database at the installation time and transmit a status update to the deployment device in response to the installation being initiated.

Abstract: Segmentation first breaks the images into segments or regions, with the segments of the region having text or symbols. The segmented image is separately applied to two different CNN-based models. Each model produces text boxes where potential text might exist. Then, a selective NMS algorithm is applied to the output of each model to produce a final group of text regions. These text regions are analyzed and actions are taken.

Abstract: In some embodiments, systems, methods, and apparatuses are provided herein useful for managing a plurality of concurrent and nearly concurrent data requests within a computer system. The systems have a main data storage for storing source data, and a high speed, and/or remote data storage for storing computed data. In some embodiments, a combination of data filters and distributed mutex processes are used to eliminate or limit duplicate reads and writes into the high speed data storage units by ensuring only a single service module gets a lock to do the read and update of the cache; and makes it possible for keys to expire and be removed from the data filter. The systems and methods herein have various applications including retail sales environments where the requested data is related to product sales, product availability and the like.

Abstract: A method includes receiving in-session user activity information comprising a user search query from a user and a ranked list of products to be displayed to the user based on the user search query, where a product within the ranked list of the products is in a boost category, and where the user search query is received via a graphical user interface that is in a first display state. The method also includes analyzing the product in the boost category to determine if the product is to be repositioned within the ranked list of the products.

Abstract: A method includes coordinating at a first system in an online mode: analyzing at least a portion of a search query using one or more query suggestion systems to determine scores for suggested search queries from the one or more query suggestion systems.

Abstract: Features are applied to a mathematical model to produce a cutting pattern for opening a container. The cutting pattern specifies which of one or more cutting tools is to be used and the location of where cuts are to be made on the container. The cutting pattern is sent to a container opening machine. The container opening machine is operated and the container cut and opened by the container opening machine according to the cutting pattern.

Abstract: In some embodiments, systems and methods are provided to recognize products in a physical facility through a portable device that comprises a decision control circuit configured to: process each frame of the subset of frames by multiple modeling techniques each relative to a corresponding image attribute and obtain a corresponding product identification probability; determine corresponding aggregated identification probabilities of the first product based on the product identification probabilities; collectively evaluate the aggregated identification probabilities and identify when a predefined relationship with a collective threshold probability exists; and cause an image of the first product to be displayed in response to identifying that one or more of the aggregated identification probabilities having the predefined relationship with the collective threshold probability.

Abstract: A method including determining a preferred communication channel for a user by: (a) determining a respective normalized propensity score for each subscribed communication channel to which the user subscribes, based at least in part on a respective propensity score for the each subscribed communication channel; and (b) determining the preferred communication channel from among subscribed communication channels based on the respective normalized propensity score. The method further can include transmitting, via the preferred communication channel, a message to a user device of the user. Other embodiments are disclosed.

Abstract: A method can include training a machine learning module based on training data to determine a load threshold for to-be-dispatched delivery vehicles, wherein the training data is based on historical load thresholds and historical delivery performance data of delivery vehicles. The method further can include generating one or more clusters for nodes based, at least in part, on (a) location information of the nodes from order data and (b) load capacity information of the delivery vehicles. Also, the method can include reassigning the nodes to the one or more clusters. Additionally, the method can include transmitting the one or more delivery routes, as determined and re-determined, to be displayed on one or more user devices. Moreover, the method can include re-training the machine learning module. Other embodiments are disclosed.