Devices, systems, and method are provided for processing requests for items to be pre-gathered from a store, the processing of the requests is executed using one or more processing entities. One method includes receiving tracking data from portable device associated with a user having an online account with the store. One or more items are identified from a shopping list of the user as associated with the online account of the store. Processing the tracking data is made to determine a current route of the portable device to the store. Sending instructions is processed to create a task for pre-gathering one or more items from the store. The sending of instructions is triggered in response to confirming that the current route of the portable device remains headed to the store. The method also includes receiving an indicator that the one or more items from the store have been gathered. The method causes the sending of a notification to the online account of the user that a package of said one or more items from the store that were ordered have been gathered and are ready for pickup at the store.

A user may pick an item from a first inventory location, such as in a lane on a shelf, and may return it another location that is assigned to another type of item. Described are techniques to generate tidiness data that is indicative of whether an item has been returned to an inventory location assigned to that type of item. As items are taken, information about the type of item taken and its weight are stored. When an increase in weight at a lane indicates a return of an item to the lane, the weight of the return is compared to the stored weight of the items previously taken by a user. If the weights correspond to within a threshold value, the type of item associated with the stored weight is deemed to be returned and tidiness data indicative of a tidy return of the item to its appointed lane may be generated.

A method operates a sales device for goods. The method includes: detecting, using a shelf with automatic removal monitoring, a removed item and determining item data of the removed item; reading out a customer identification number of a customer in a vicinity of the shelf from which the removed item has been removed; receiving, by a controller, the item data of the removed item and the customer identification number; adding, with the controller, the item data of the removed item and the customer identification number to a list of items intended for payment; and detecting, with a detector, items for which a payment transaction is to be executed. The detector has at least one sensor and an evaluator and for detecting articles, at least the data of the sensor and the list of items intended for payment are being made available to the evaluator as input variables.

A method operates a sales device for goods. The method includes: detecting, using a shelf with automatic removal monitoring, a removed item and determining item data of the removed item; receiving the item data of the removed item; adding the item data of the removed item to a list of items intended for payment; receiving an item number from a product scanner; adding the item associated with the item number to a list associated with the product scanner; identifying the product scanner at the sales device; collecting, with at least one sensor, data about items in a shopping cart or a shopping basket which is located on a support plate of the sales device; and validating the list of items associated with the product scanner on the basis of the data from the at least one sensor and the list of items intended for payment.

A method operates a sales device for goods. The method includes: detecting, using a shelf with automatic removal monitoring, a removed item and determining item data of the removed item; receiving, by a controller, the item data of the removed item; adding, with the controller, the item data of the removed item to a list of items intended for payment; and detecting, with a detector, items for which a payment transaction is to be executed, the detector having at least one sensor and an evaluator. For detecting the items, at least data of the sensor and the list of items intended for payment is made available to the evaluator as input variables.

A vison-based self-checkout terminal is provided. Purchased items are placed on a base and multiple cameras take multiple images of each item placed on the base. A location for each item placed on the base is determined along with a depth and the dimensions of each item at its given location on the base. Each item's images are then cropped, and item recognition is performed for each item on that item's cropped images with that item's corresponding depth and dimension attributes. An item identifier for each item is obtained along with a corresponding price and a transaction associated with items are completed.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring shopping activities using weight data in a store. One of the methods includes receiving, from one or more image sensors and one or more weight sensors, data collected by the one or more image sensors and data collected by the one or more weight sensors; identifying, based at least on the data collected by the one or more image sensors, one or more product items removed by a person from the store; calculating an expected total weight of the one or more product items based on information associated with the one or more product items stored by the computer system; determining, based on the data collected by the one or more weight sensors, an actual total weight of the one or more product items removed by the person; and verifying the actual total weight is consistent with the expected total weight.

The disclosure is directed to system, methods and programs for automatic verification and validation of users' actions during assembly of products intended for purchase in a shopping cart, more specifically, the disclosure is directed to systems, methods and programs for automatically validating correct identification and markings of items inserted to an artificially intelligent shopping cart by using action-recognition associated with correct scanning/presentation of the item to a product recognition module coupled to the artificially intelligent shopping cart.

An inspection system of a chip includes a reading device and a determining unit. The reading device is configured to count a number of chips stored in a storage case, the chips associated with a table game and including a chip having a radio tag, read the radio tag while the chips are stored in the storage case, and acquire chip information. The determining unit is configured to compare the chip information of the chips in the storage case with a physical number of the chips in the storage case, determine that there is an abnormal chips among the chips stored in the storage case based on a determination that the counted number of the chips does not match a physical number of the chips in the storage case, and output a result associated with an indication of the abnormal chip.

Disclosed herein are embodiments of systems, methods, and products comprises a server for enabling automatic shopping. The server may associate a shopping cart with a customer's electronic user device. The server may monitor the locations of the electronic user device. Based on the customer's location, the server may identify the shelves and items the customer has visited. When an item is lifted from the shelf, at least one weight sensor on the shelf may detect the weight change. The server may receive a notification comprising an amount of weight change from the weight sensor on the shelf. When the customer places the item into his/her shopping cart, the weight sensor on the shopping cart may detect the weight addition. If the weight change and weight addition match, the analytic server may determine that the item picked up from the shelf is placed within the customer's shopping cart.