Provided are a system and method for determining a weight of an item for purchase, comprising determining from a digital image of an item generated by a single camera a volume of the item, the single camera separated from the item at a distance in a horizontal and vertical direction established by a stationary rigid fixture; identifying the item; accessing a database to determine an average weight per volume measurement unit of the identified item; and calculating a weight of the item from the volume and the average weight per volume measurement unit.

Disclosed are visual recognition and sensor fusion weight detection system and method. An example method includes: tracking, by a sensor system, objects and motions within a selected area of a store; activating, by the sensor system, a first computing device positioned in the selected area in response to detecting a presence of a customer within the selected area: identifying, by the sensor system, the customer and at least one item carried by the customer; transmitting, by the sensor system, identifying information of the customer and the at least one item to a computing server system via a communication network; measuring, by the first computing device, a weight of the at least one item; transmitting, by the first computing device, the weight to the computing server system via the communication network; and generating, by the computing server system, via the communication network, transaction information of the at least one item.

A computer-controlled, automated checkout store outlet comprises at least one bay. A normally locked door is associated with each bay, and provides access to items within the bay by customers approved by a computer of the automated store outlet. At least one tray is disposed within at least one bay, and adapted to hold items to be stocked by the bay. A sensor system is configured to detect the removal of an item from the bay and identify the removed item, such as when a customer is removing the item for purchase.

A self-service checkout system includes a processor and a non-transitory computer-readable storage medium storing executable instructions. The executable instructions when executed by the processor cause the processor to perform operations including: receiving a message from a vision system that includes a list of identified items on a tray positioned adjacent to the vision system for a current transaction and one or more issues related to an identification of the items on the tray, processing the message to identify the one or more issues related to the identification of the items on the tray, providing a user interface for a customer to correct the one or more issues related to the identification of the items on the tray, and completing the current transaction once the issues related to the identification of the items on the tray are corrected.

The present disclosure describes a system (e.g., a self-checkout system) that includes a modifiable cabinet. The system includes a cabinet, a sleeve, and a panel. The cabinet includes a front side and a back side opposite the front side. The sleeve is positioned within the cabinet. The sleeve moves away from the front side of the cabinet and out the back side of the cabinet. The sleeve defines a chamber. The panel is positioned within the chamber. When the sleeve is moved away from the front side of the cabinet and out the back side of the cabinet, the panel folds down to create a shelf within the chamber.

A multi-function transaction card may receive, from shelf sensors, first data indicating that items have been removed from shelves by a customer of a merchant, and may receive, from shopping cart sensors, second data indicating that the items have been placed in a shopping cart. The multi-function transaction card may receive, based on the first data and the second data, item data identifying the items placed in the shopping cart, wherein the item data is received from price tags of the items. The multi-function transaction card may store the item data, and may provide, to a transaction terminal of the merchant, the item data identifying the items and customer data identifying the customer. The multi-function transaction card may receive, from the transaction terminal, transaction data identifying a transaction that charges the multi-function transaction card for a total cost of the items.

Disclosed are visual recognition and sensor fusion weight detection system and method. An example method includes: tracking, by a sensor system, objects and motions within a selected area of a store; activating, by the sensor system, a first computing device positioned in the selected area in response to detecting a presence of a customer within the selected area: identifying, by the sensor system, the customer and at least one item carried by the customer; transmitting, by the sensor system, identifying information of the customer and the at least one item to a computing server system via a communication network; measuring, by the first computing device, a weight of the at least one item; transmitting, by the first computing device, the weight to the computing server system via the communication network; and generating, by the computing server system, via the communication network, transaction information of the at least one item.

A multi-function transaction card may receive, from shelf sensors, first data indicating that items have been removed from shelves by a customer of a merchant, and may receive, from shopping cart sensors, second data indicating that the items have been placed in a shopping cart. The multi-function transaction card may receive, based on the first data and the second data, item data identifying the items placed in the shopping cart, wherein the item data is received from price tags of the items. The multi-function transaction card may store the item data, and may provide, to a transaction terminal of the merchant, the item data identifying the items and customer data identifying the customer. The multi-function transaction card may receive, from the transaction terminal, transaction data identifying a transaction that charges the multi-function transaction card for a total cost of the items.

A vision-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.

The present disclosure describes a system (e.g., a self-checkout system) that includes a modifiable cabinet. The system includes a cabinet, a sleeve, and a panel. The cabinet includes a front side and a back side opposite the front side. The sleeve is positioned within the cabinet. The sleeve moves away from the front side of the cabinet and out the back side of the cabinet. The sleeve defines a chamber. The panel is positioned within the chamber. When the sleeve is moved away from the front side of the cabinet and out the back side of the cabinet, the panel folds down to create a shelf within the chamber.