Amazon Technologies, Inc.

Sreemanananth Sadanand

Oded Maron

Jeremy Samuel De Bonet

Vinod Krishnan Kulathumani

Xiang Ma

Michael Derryberry

Bruno Miranda Artacho

This disclosure is directed to item-identifying carts that may be utilized by users in material handling facilities to automatically identify items that the users place in their carts as they move around the material handling facilities. In addition, these carts may automatically determine the outcome of respective events that occur with respect to these identified items. For example, the carts may be configured to identify one or more items that are placed into or removed from the cart, and thereafter determine one or more actions taken with respect to the identified items and a quantity of the items involved.

Resolving events in item-identifying carts

This disclosure is directed to, in part, mobile carts that are configured to determine their respective locations based on analysis of image data generated by cameras mounted to the respective carts. For instance, an example mobile cart may include at least one camera of a field-of-view directed substantially away from a cart and substantially towards an outward environment of the cart, such as toward an inventory location that houses one or more items. The mobile cart may generate image data representative of items housed at an inventory location adjacent to the cart and may use computer-vision techniques to analyze the image data and determine characteristics of these items. The mobile cart may then use this information to determine which section of multiple sections of a store in which the cart is currently located.

Determining a location of a mobile cart

This disclosure is directed to item-identifying carts that may be utilized by users to automatically identify items that the users place in their carts. In order to identify the items placed into or removed from the cart, the cart may analyze image data, as well as weight data indicating a current weight estimation of a basket of the cart. The cart may include a weight sensor that generates a signal comprising a series of weight measurements of the basket of the cart. The cart may use an algorithm that calculates different mean values of different window sizes of the weight measurements of this signal and, thereafter, may calculate an average of these mean values. This average may be stored as the current weight estimation of the basket.

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Shrewsbury, MA, United States of America

Sreemanananth Sadanand