A media enhanced shopping cart system comprises a shopping cart, a locationing component, and a display component for displaying at least one advertisement for a product based on the location of the shopping cart within the store, wherein the locationing component is further operable to determine a location of the product within the store relative to the shopping cart, and wherein the display component is further operable to display an indication of the location of the advertised product relative to the location of the shopping cart.

A robot can include a cart to receive one or more objects; a camera sensor to photograph a periphery of the robot and capture an image of a user of the robot; a handle assembly coupled to the cart; a moving part to move the robot; a force sensor to sense a force applied to the handle assembly; and a controller configured to generate physical characteristics information on physical characteristics of the user of the robot based on the image of the user, and adjust at least one of a moving direction of the robot, a moving speed of the moving part and a value of torque applied to a motor of the moving part, based on the physical characteristics information and a magnitude of the force applied to the handle assembly sensed by the force sensor.

A vehicle repair board having a schematic representation of a vehicle is provided for schematically assisting vehicle part storage and organisation during repair procedures. The vehicle repair board has a plurality of fasteners for connecting tools, parts, and consumables to the board and a support structure for supporting the board in a vertical orientation.

The present disclosure provides a transporting apparatus. The transporting apparatus can include the following components: a first frame support configured to support an object; a second frame support configured to roll the transporting apparatus and to move relative to the first frame support; and a plurality of shock absorbing elements positioned between the first frame support and the second frame support.

According to one embodiment, an information processing device includes a processing circuit having programmed instructions to: determine a cart location of a shopping cart that is moved by a customer and used for transportation of a merchandise purchased by the customer; and provide a notification for promoting a return of the shopping cart to a return area for returning the shopping cart in response to a determination that (i) the shopping cart is located in a place outside of the return area and (ii) a stay time of the shopping cart at the place outside the return area exceeds a threshold length of time.

A method is provided for tracking and/or locating a delivery item. A first delivery-item transport equipment label is temporarily attached to a bracket, wherein the bracket includes a main body with a first identifier permanently attached to the bracket and a second identifier comprising a radio-frequency identification (RFID) chip permanently attached to the bracket. The first delivery-item transport equipment label and at least one of the first identifier and the second identifier are scanned to associate the first delivery-item transport equipment label with at least the RFID chip. The RFID chip is scanned during use of a delivery-item transport equipment to which the bracket is attached. A location of the first delivery-item transport equipment label is identified based on the scanning of the RFID chip.

A media enhanced shopping cart system comprises a shopping cart, a locationing component, and a display component for displaying at least one advertisement for a product based on the location of the shopping cart within the store, wherein the locationing component is further operable to determine a location of the product within the store relative to the shopping cart, and wherein the display component is further operable to display an indication of the location of the advertised product relative to the location of the shopping cart.

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.

An interactive shopping system, or smart cart. The system allows a user to select items in a store and complete a purchase without having to wait in lines or interact with store personnel. The system can have a container for holding products selected by at least one user, a user interface, a scanner in communication with the user interface, a processor in communication with the user interface, and a data storage comprising computer instructions executable by the processor. A user can select products, place them within the container, scan the products, and initiate a payment transaction to complete a purchase.

The disclosed technology provides for reconstructing products that are added to a shopping cart in three-dimensional space. The recontructed products can be used for product validation. A shopping cart can include product validation hardware including light emitters and light sensors along a top perimeter of the shopping cart. The shopping cart can activate the light emitters to emit light across a top horizontal plane of the shopping cart, receive, from light sensors on a side of the shopping cart opposite a side where the activated light emitter is located, light intensity data as a product passes through the top horizontal plane and obstructs at least a portion of the emitted light from being detected by the light sensors, identify, from the light intensity data, slices of the product, and reconstruct the product in 3D space based on stitching together the slices.