Amazon Technologies, Inc.

Muralidhar Koka

Yasser Baseer Asmi

Nishitkumar Ashokkumar Desai

Daniel Bibireata

Frank Florian Liberato, Jr

Sudarshan Narasimha Raghavan

Ammar Chinoy

Dilip Kumar

Korwin Jon Smith

I-Hung Wang

Emilio Ian Maldonado

Jeremy Volkman

Rachit Chawla

Abhoy Bhaktwatsalam

Jaechul Kim

Hao Jiang

Christopher John Rose

Mayilan Balachandran

Kenneth Oliver Henderson, Jr

Described are systems and techniques to generate data for display to present visualizations of data acquired from sensors in a facility. The data visualizations may be used to develop, configure, administer, or otherwise support operation of the facility. In one implementation, the visualization may include a view incorporating aggregated images acquired from multiple cameras, depth data, tracking information about objects in the facility, and so forth. An analyst may use the data visualization to determine occurrence of an action in the facility such as a pick of an item, place of an item, what item was involved with an action, what user was involved with the action, and so forth. Based on the information presented by the data visualization, changes may be made to data processing parameters.

Visualization system for sensor data and facility data

This disclosure describes a system for assisting users in locating items from inventory locations and/or obtaining additional information about items. In some instances, a user may experience difficulty in locating an inventory item in a materials handling facility. By detecting one or more expressions presented by the user, an inventory management system may determine that assistance is to be provided to the user, determine and provide the appropriate assistance to the user.

Expression and gesture based assistance

Described is a multiple-camera system for use in capturing images of users within a materials handling facility and processing those images to monitor the movement of users. For large materials handling facilities, a large number of cameras may be required to monitor the facility. Processing of the data generated from a large number of cameras becomes difficult. The implementations described herein include a hierarchy that allows image data from any number of cameras within a materials handling facility to be processed without substantially increasing the processing time needed or sacrificing processing capabilities.

Monitoring locations within a materials handling facility

Camera hierarchy for monitoring large facilities

Using gestures and expressions to assist users

Data visualization system

Processing image data from a camera cluster

The following description is directed to topologically aware network device configuration. In one example, components to be configured within a network can be mapped to one or more redundancy groups within a network topology of the network. The components to be configured can be selectively configured within the network so that network traffic continues during the configuration. Selectively configuring the components can include choosing an order to configure the components based on configuration rules and the mapping of the components to the one or more redundancy groups.

Topologically aware network device configuration

Growing community of inventors

Kirkland, WA, United States of America

Muralidhar Koka