Amazon Technologies, Inc.

Venkataraman Santhanam

Gregory Donald Hager

Ejaz Ahmed

Abhay Doke

Tomer Anor

Kamal Ramachandran Kuzhinjedathu

This disclosure describes, in part, techniques for identifying interactions and events associated with inventory locations. For instance, system(s) may receive image data representing a user interacting with an inventory location. The system(s) may then generate heatmap data indicating a first portion of the image data that represents the inventory location and feature data indicating a second portion of the image data that represents the user. Next, the system(s) may analyze the heatmap data with respect to the feature data to determine that the second portion of the image data corresponds to the first portion of the image data. As such, the system(s) may determine that the user is interacting with the inventory location. Based on the determination, the system(s) may analyze the first portion of the image data to identify an event that occurs at the inventory location, such as the user removing an item.

Detecting interactions with inventory locations

This disclosure describes, in part, techniques for identifying facility status updates using opportunistic data gathering from independently controlled devices operated by users within the facility. For instance, system(s) may determine first status information for inventory and/or locations within the facility and determine associated freshness scores. In response to a freshness score being below a threshold level, the system may determine imaging locations for the independently controlled devices to be positioned at to capture image data to update information on the inventory or locations. The system may receive uploaded image data from a fleet device after it opportunistically reaches the imaging location and captures image data. The system may then update the facility status information and the freshness score for the particular location.

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Marlborough, MA, United States of America

Venkataraman Santhanam