A pushcart according to the present disclosure provides a warning on the basis of a first weight at a position outside a region between a shaft of front wheels and a shaft of rear wheels when viewed from the vertical direction and a predetermined weight. For example, the predetermined weight is the weight on a mounting portion located between the shaft of the front wheels and the shaft of the rear wheels when viewed from the vertical direction. When the first weight is larger than the predetermined weight, an informing unit can provide a warning by using a sound, light, and the like and enable a user to recognize that there is a possibility that the pushcart will turn over.

A device forming a stackable container that can be used to transport products includes a portion forming a crate defining a base and four side walls and a top wall, secured to one another in a sealed manner, made mainly of a plastic material; a door for sealingly closing the crate, forming with the crate, when closed onto same, a sealed box; a system for drawing and compressing gases contained in the closed box; and at least one tight casing for storing the drawn and compressed gases, rigidly connect to the box and forming a bracing frame during transport and a flotation buoy when the container is immersed in water.

A inventory processing cart including a body portion, the body portion having a top surface and a plurality of walls that define an interior region between the plurality of walls and beneath the top surface, an opening in the top surface, the opening providing access to the interior region of the body portion, a weighing device, the weighing device positioned proximate the opening in the top surface of the body portion, a stowing system disposed within the interior region of the body portion, the stowing system configured to receive one or more containers within the interior region of the body portion, wherein the opening is configured to receive store product that has been accounted for by the weighing device, is provided. Furthermore, an associated method is also provided.

Disclosed herein relates to a self-checkout anti-theft vehicle system, comprising: a self-checkout vehicle having a plurality of sensors and components implemented thereon, the self-checkout vehicle being used by shoppers for storing selected merchandises in a retail environment; and a centralized computing device. The centralized computing device is configured to: obtain information related to each merchandise selected and placed into the self-checkout vehicle by a shopper by exchanging data with the plurality of sensors and components via a first communication network, identify each merchandise via a second, different communication network based at least upon the information obtained from the plurality of sensors and components, and process payment information of each merchandise.

Self-checkout vehicle systems and methods comprising a self-checkout vehicle having a camera(s), a weight sensor(s), and a processor configured to: (i) identify via computer vision a merchandise item selected by a shopper based on an identifier affixed to the selected item, and (ii) calculate a price of the merchandise item based on the identification and weight of the selected item. Computer vision systems and methods for identifying merchandise selected by a shopper comprising a processor configured to: (i) identify an identifier affixed to the selected merchandise and an item category of the selected merchandise, and (ii) compare the identifier and item category identified in each respective image to determine the most likely identification of the merchandise.

A wheel assembly for installation on a shopping cart to retro-fit the shopping cart for facilitating self-checkout. The wheel assembly may include a support structure and a wheel rotatably supported on the support structure. The wheel assembly may further include a rechargeable battery supported by the support structure and a charging module supported on the support structure. In addition, the wheel assembly may include a force-detection module configured to provide a signal related to an item event in which an item is deposited within the shopping cart. Still further, the wheel assembly may include a processing and communications unit configured to receive the signal from the force-detection module. The processing and communications unit may transmit the signal to a device that is separate from the wheel assembly.

A pushcart according to the present disclosure provides a warning on the basis of a first weight at a position outside a region between a shaft of front wheels and a shaft of rear wheels when viewed from the vertical direction and a predetermined weight. For example, the predetermined weight is the weight on a mounting portion located between the shaft of the front wheels and the shaft of the rear wheels when viewed from the vertical direction. When the first weight is larger than the predetermined weight, an informing unit can provide a warning by using a sound, light, and the like and enable a user to recognize that there is a possibility that the pushcart will turn over.

A shopping cart comprises a basket and a wheeled base. An upper portion of the base has a coupling feature reversibly joined to a lower portion of the basket when the shopping cart is in an assembled, non-weighing configuration. The cart further comprises a weighing kit assembled from a lower frame, an upper frame with a coupling feature that emulates the coupling feature of the upper portion of the base member, and a load-cell assembly that mediates between the upper and lower frames. The lower frame is designed for being reversibly joined to the coupling feature of the base member, whilst the coupling feature of the upper frame of the weighing kit is designed to be reversibly joined to the basket member.

Self-checkout vehicle systems and methods comprising a self-checkout vehicle having a camera(s), a weight sensor(s), and a processor configured to: (i) identify via computer vision a merchandise item selected by a shopper based on an identifier affixed to the selected item, and (ii) calculate a price of the merchandise item based on the identification and weight of the selected item. Computer vision systems and methods for identifying merchandise selected by a shopper comprising a processor configured to: (i) identify an identifier affixed to the selected merchandise and an item category of the selected merchandise, and (ii) compare the identifier and item category identified in each respective image to determine the most likely identification of the merchandise.

Disclosed herein relates to a self-checkout anti-theft vehicle system, comprising: a self-checkout vehicle having a plurality of sensors and components implemented thereon, the self-checkout vehicle being used by shoppers for storing selected merchandises in a retail environment; and a centralized computing device. The centralized computing device is configured to: obtain information related to each merchandise selected and placed into the self-checkout vehicle by a shopper by exchanging data with the plurality of sensors and components via a first communication network, identify each merchandise via a second, different communication network based at least upon the information obtained from the plurality of sensors and components, and process payment information of each merchandise.