Amazon Technologies, Inc.

Benjamin Lloyd Shapiro

Alexander Clark Prater

Brett Allen Skaloud

Navid Shiee

Ismael Medrano

Ivan Avramov

An inventory location, such as a shelf, may be used to stow different items. The shelf is divided into a plurality of adjacent lanes, some of which may be grouped into a cluster. Items are placed upon the lanes of the cluster. Each lane includes one or more weight sensors to obtain weight data about a load on the lane. Based on the weight data and physical layout data for the shelf, one or more hypotheses may be determined for describing interactions, such as a pick or place of an item, occurring at the lanes of a cluster. One of the hypotheses may be selected as a solution for describing the interaction and used to maintain inventory quantities of items at the shelf.

Inventory management using weight sensors and physical layout data

An inventory location such as a shelf may be used to stow different types of items. The shelf may be equipped with a plurality of lanes arranged parallel to one another. Items may rest upon two or more of the lanes. Each lane includes a weight sensor that provides weight data about a load on the lane. Based on the weight data and item data indicative of individual weights of those items stowed on the shelf, interaction data indicative of an activity such as a pick or place of an item may be determined. The interaction data may specify what item was picked or placed, quantity of that item that was picked or placed, and so forth. Data from other sensors, such as a camera, may be used to determine the interaction data.

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Seattle, WA, United States of America

Benjamin Lloyd Shapiro