Abstract: A portable checkout unit automatically generates training data for an automatic checkout system as a customer collects items in a store. A customer uses an item scanner of portable checkout unit to generate a virtual shopping list of items collected in the shopping cart. When the customer adds a new item to the shopping cart or on some regular interval, the portable checkout unit captures images of the items contained by the shopping cart and can generate bounding boxes for each product in each image. The bounding boxes can be associated with item identifiers from previously-generated bounding boxes to identify the items captured by the bounding boxes. Each bounding box paired with an item identifier can then be used as training data for an automated checkout system.

Abstract: A portable checkout unit automatically generates training data for an automatic checkout system as a customer collects items in a store. A customer uses an item scanner of portable checkout unit to generate a virtual shopping list of items collected in the shopping cart. When the customer adds a new item to the shopping cart or on some regular interval, the portable checkout unit captures images of the items contained by the shopping cart and can generate bounding boxes for each product in each image. The bounding boxes can be associated with item identifiers from previously-generated bounding boxes to identify the items captured by the bounding boxes. Each bounding box paired with an item identifier can then be used as training data for an automated checkout system.

Abstract: A portable checkout unit automatically generates training data for an automatic checkout system as a customer collects items in a store. A customer uses an item scanner of portable checkout unit to generate a virtual shopping list of items collected in the shopping cart. When the customer adds a new item to the shopping cart or on some regular interval, the portable checkout unit captures images of the items contained by the shopping cart and can generate bounding boxes for each product in each image. The bounding boxes can be associated with item identifiers from previously-generated bounding boxes to identify the items captured by the bounding boxes. Each bounding box paired with an item identifier can then be used as training data for an automated checkout system.

Abstract: A portable checkout unit automatically generates training data for an automatic checkout system as a customer collects items in a store. A customer uses an item scanner of portable checkout unit to generate a virtual shopping list of items collected in the shopping cart. When the customer adds a new item to the shopping cart or on some regular interval, the portable checkout unit captures images of the items contained by the shopping cart and can generate bounding boxes for each product in each image. The bounding boxes can be associated with item identifiers from previously-generated bounding boxes to identify the items captured by the bounding boxes. Each bounding box paired with an item identifier can then be used as training data for an automated checkout system.

Abstract: A portable checkout unit automatically generates training data for an automatic checkout system as a customer collects items in a store. A customer uses an item scanner of portable checkout unit to generate a virtual shopping list of items collected in the shopping cart. When the customer adds a new item to the shopping cart or on some regular interval, the portable checkout unit captures images of the items contained by the shopping cart and can generate bounding boxes for each product in each image. The bounding boxes can be associated with item identifiers from previously-generated bounding boxes to identify the items captured by the bounding boxes. Each bounding box paired with an item identifier can then be used as training data for an automated checkout system.

Abstract: A mobile shopping unit of an automated checkout system includes one or more sensors within a shopping cart that detect when a change to the contents of the shopping cart has occurred. If the mobile shopping unit detects a change, the mobile shopping unit captures image data of the contents of the shopping cart using one or more cameras mounted to the shopping cart. The mobile shopping unit uses the image data to identify the item added to or removed from the cart. The mobile shopping unit applies a machine-learned item identification model to the image data received from the cameras to determine an item identifier for the added or removed item. When the mobile shopping unit determines the identifier for the added or removed item, the mobile shopping unit updates a contents list associated with the customer that stores the items currently collected by the customer.

Abstract: An expedited checkout system allows a customer to generate a virtual shopping list on a client application operating on the customer's mobile device, and expedite checkout from a store using the client application. While shopping within a store, a customer can temporarily secure a mobile device to a portable checkout unit that is attached to a shopping cart. The portable checkout unit can receive item identifiers from an item scanner and transmits item identifiers to the customer's mobile device. The customer's mobile device generates a virtual shopping list of the items collected by the customer and, when the customer is ready to check out of the store, the customer can select a checkout option presented on the mobile device. In response to receiving the checkout selection, the mobile device initiates a checkout transaction to check out the customer from the store.

Abstract: A portable checkout unit automatically generates training data for an automatic checkout system as a customer collects items in a store. A customer uses an item scanner of portable checkout unit to generate a virtual shopping list of items collected in the shopping cart. When the customer adds a new item to the shopping cart or on some regular interval, the portable checkout unit captures images of the items contained by the shopping cart and can generate bounding boxes for each product in each image. The bounding boxes can be associated with item identifiers from previously-generated bounding boxes to identify the items captured by the bounding boxes. Each bounding box paired with an item identifier can then be used as training data for an automated checkout system.

Abstract: An out-of-stock detection system notifies store management that a product is out of stock. The out-of-stock detection system collects image data from shopper client devices that are attached to an in-store vehicle. The shopper client devices include one or more cameras that capture images of the store as the shoppers travel through the store. The out-of-stock detection system detects products, voids, and price tags in the image data and determines whether any products are out of stock based on the information detected in the image. For example, the out-of-stock detection system may detect a void on the shelf, and will then look at the price tag underneath the void to see what should have been there, and determine that that product is out of stock. Upon identifying an item as out-of-stock, the out-of-stock detection system notifies the store management that the item is out of stock.

Abstract: An out-of-stock detection system notifies store management that a product is out of stock. The out-of-stock detection system collects image data from shopper client devices that are attached to shopping carts or hand-held baskets being used by shoppers in the store. The shopper client devices include one or more cameras that capture images of the store as the shoppers travel through the store. The out-of-stock detection system detects products in the image data and determines whether any products are out of stock based on the products that are detected. For example, the out-of-stock detection system may determine which products should be detected in the image data and identify as out of stocks the products that are not actually detected in the image data. Upon identifying an item as out-of-stock, the out-of-stock detection system notifies the store management that the item is out of stock.

Abstract: A mobile shopping unit of an automated checkout system includes one or more sensors within a shopping cart that detect when a change to the contents of the shopping cart has occurred. If the mobile shopping unit detects a change, the mobile shopping unit captures image data of the contents of the shopping cart using one or more cameras mounted to the shopping cart. The mobile shopping unit uses the image data to identify the item added to or removed from the cart. The mobile shopping unit applies a machine-learned item identification model to the image data received from the cameras to determine an item identifier for the added or removed item. When the mobile shopping unit determines the identifier for the added or removed item, the mobile shopping unit updates a contents list associated with the customer that stores the items currently collected by the customer.

Abstract: An in-store location system determines the location of a shopper within a store based on images received from a shopper client device. The shopper client device can be attached to a shopping cart and may be connected to one or more cameras that capture images of products on shelves. The in-store location system can detect products in images received from the shopper client device using a machine-learned product detection model to detect the products in the received images. The in-store location system can then determine the location of the shopper within the store based on the received images. The in-store location system may compare the detected products to a store map or a planogram describing the store. The in-store location system also may apply a machine-learned location-determination model to the received images.

Abstract: An expedited checkout system allows a customer to generate a virtual shopping list on a client application operating on the customer's mobile device, and expedite checkout from a store using the client application. While shopping within a store, a customer can temporarily secure a mobile device to a portable checkout unit that is attached to a shopping cart. The portable checkout unit can receive item identifiers from an item scanner and transmits item identifiers to the customer's mobile device. The customer's mobile device generates a virtual shopping list of the items collected by the customer and, when the customer is ready to check out of the store, the customer can select a checkout option presented on the mobile device. In response to receiving the checkout selection, the mobile device initiates a checkout transaction to check out the customer from the store.